Services
©PropTech Pulse 2025, All rights reserved.
What is natural language processing (NLP) in real estate?
Natural Language Processing (NLP) in real estate refers to the use of AI techniques to analyse, interpret, and generate human language within the property sector. It enables machines to read listing descriptions, process customer queries, extract insights from reviews, and automate communication — making real estate platforms smarter and more responsive.
Key NLP Applications in Real Estate
- Property listing analysis: Extracting features like '3BHK', 'sea view', or 'furnished' automatically from text descriptions.
- Chatbots and virtual assistants: Answering buyer and tenant queries in natural language 24/7.
- Sentiment analysis: Understanding whether reviews or social mentions of a project are positive or negative.
- Document processing: Reading and summarising legal documents, lease agreements, and sale deeds.
- Search enhancement: Interpreting vague search queries like 'affordable flat near good schools' and returning relevant listings.
Benefits of NLP for Real Estate Firms
- Reduces manual effort in listing creation and document review.
- Improves customer experience through instant, accurate responses.
- Helps monitor brand reputation through review mining.
- Accelerates due diligence by auto-reading contracts.
NLP is bridging the gap between unstructured human language and actionable real estate data. As voice search and AI assistants grow, NLP will become a core capability for any competitive property platform.
Newly Launched Projects
Similar Blogs
Investment Opportunities
Indian PropTech Market: The $100 Billion Real Estate Tech Boom
Like a ship anchored to a familiar port, and hesitant to venture into new waters, India’s real estate sector too has remained fixated on traditional or legacy modes of operations for far too long. It now sits on the cusp of dramatic technological change, thanks to the debilitating impact of COVID-19, accelerated digital adoption and changing consumer behaviour. The global pandemic has cracked open the industry’s pain points, forcing market leaders to step up tech adoption to levels not witnessed before. The transformation in the country’s real estate landscape due to the application of new best practices has not only made businesses unrecognisable from their former avatar but also contributed to building up efficiencies and scale. The stage is therefore set for the overall Indian real estate market to grow to $1 trillion by 2030, from $200 billion in 2021. Amidst the ongoing upheaval, proptech or property technology, a subset of the industry, has emerged. Market reports show that Indian PropTech startup firms garnered more than $3.2 billion in funding across 255 deals between 2009 and 2021, underlining the huge success of the nationwide startup ecosystem initiated in 2015. Not only has there been a rise in the number of PropTech startups – from two in 2016 it has skyrocketed to an impressive 1,400 in 2022 – but substantial funding has been secured for such ventures pointing to growing investor confidence. Customer focus on increasing convenience, smart city initiatives, and the growth of the rental market is expected to further propel expansion of this sector. PropTech: The Savior! The growth of PropTech, which is essentially a marriage of property with technology, has led to critical real estate sector issues such as lack of transparency and trust. Adoption of PropTech is echoed across the entire real estate value chain including discovery, transaction, fulfilment, and utilisation. According to a report, more than 75% Buyers use digital channels to search homes, about 50% homebuyers use virtual tours before buying a property, 70% share of sales & marketing budget spent on digital strategies, 44% real estate agents use automated tools for lead generation and customer relationship management. In my view, the Midas Touch of digitisation and technology has significantly changed the face of the real estate industry, impacting the business operations of every stakeholder, including tenants, developers, brokers, and investors. Key categories of PropTech PropTech solutions are making an impact on rentals, distribution business and capital allocation. It impacts key stakeholders of developers, financers, channel partners, buyers, renters and property managers. PropTech 2030 will be a USD 100 billion opportunity emerging from solutioning of challenges and opportunities across these key stakeholders. It will encompass Construction Tech, Sales and marketing, Family rentals, Co-living, Co-working, Home services, Capital allocation and Land. The opportunity for PropTech in rental real estate stands at USD 14 billion which includes family rentals, co-living, co-working, home services and property management. The distribution of real estate will be a USD 23 billion and include sales and marketing, broker aggregation, CRM and lead generation businesses. The opportunity for capital stands at USD 4 billion including fractional ownership, neo reality investments, and loan recommendation services. Emerging Tech Continuing technological advancements have revolutionised and reshaped the nature of real estate operations and interaction with customers. This is reflected in improved transparency, efficiency, and empowerment of buyers and investors. It would be useful to look at the principal benefits of applying some of the solutions: Improved discovery: Digital transformation is facilitating the creation of online real estate marketplaces, connecting buyers, sellers, landlords, and tenants in real-time, making transactions faster, efficient, and location independent. Convenience of online tours: The use of Virtual Reality (VR) and Augmented Reality (AR) technology has ushered in the convenience of showcasing properties online for customers who cannot be physically present to view them. These apps not just help buyers take virtual tours of potential real estate from the comfort of homes but are embedded with features that allow for space visualisation and interior designing by overlaying digital information onto physical spaces. Personal real estate assistant at your service: Chatbots, which make use of AI-powered algorithms, further contribute to user convenience and experience by providing prompt responses and facilitating effective property searches. Personalised property recommendations based on customer preferences, budget, and location ensure customers can see properties that align with their specific needs. It is all about making informed decisions: The use of Big Data and predictive analysis offer insights into property values and investment opportunities, thus empowering buyers and investors to make informed decisions. Sustainability is the new black: There is growing public empathy about reducing carbon emissions for a green future, and PropTech fosters sustainability through various tools, which assess property health. Homes and offices are becoming smart with IoT-enabled devices enabling automation, energy efficiency, and security. Ease of managing transactions: Real estate transactions can be quite a tedious and overwhelming experience both for buyers and sellers leading some to become averse to going through the entire process. Blockchain technology streamlines property transactions by providing a secure and transparent platform for recording property ownership, managing contracts, and facilitating peer-to-peer transactions. Improved network: Digital transformation is facilitating the creation of online real estate marketplaces, connecting buyers, sellers, landlords, and tenants in real-time, making transactions faster, efficient, and location independent. Construction technology: These are exciting times for the real estate sector with constructors deploying various tools to raise the efficiency bar of projects. These include drones deployed to monitor construction, 3D Printing, aluminium formwork, and other technologies incorporated. Challenges and Opportunities for Businesses While PropTech holds immense prospects for India, the real estate industry has been found to move at a snail’s pace. If businesses are laggard at present, it largely owes to resistance from stakeholders hesitant to embrace digital innovations. Further, the sensitivity of customer data exposes market players to vulnerabilities, making the presence of robust data privacy and security measures crucial to establish customer trust. The other limitations include the high initial investments required for technology development. The collaboration gap between traditional real estate players and PropTech startups serves to stonewall the growth of PropTech businesses. Under the leadership of Hon' Prime Minister Shri Narendra Modi, India witnessed major policy push across four key areas, including the digitization of land records and real estate transactions under the Digital India Land Record Modernisation Programme (DILRMP), transparency in real estate transactions under demonetization and Goods and Services Tax implementation , regulation of real estate development and licensing of service providers under RERA (Regulation and Development) Act, 2016), and reforms of the rent control act under the Model Tenancy Act 2021. As a result of this and increased confidence on the Indian leadership, the sector has attracted USD 26.6 billion in foreign institutional inflows between 2017 and 2022. The good thing here is that a foundation has been laid to provide an environment conducive to growth. PropTech’s potential to further maximise its reach in the Indian real estate industry is immense. As technology continues to evolve, real estate technology firms will have greater opportunities to create transparency, efficiency, and customer-centricity in the market to drive the business forward. There is a greater need for industry players to realise that tech adoption is a necessity for growth and not just an option. Indeed, the winds of change are blowing. It’s about time India’s real estate ship, rigidly anchored in old legacies, sets sail towards a dynamic, more innovative, digital future. Embracing the PropTech revolution Considering the evolving real estate landscape, Aurum PropTech has developed an integrated ecosystem with a range of Technology, Services and Capital led solutions that address key industry challenges and opportunities. Through an integrated data strategy Aurum operates technology businesses rental real estate, buy and sell real estate sector and financing of real estate. With the right tools and systems in place, you can collect and track data about your properties and tenants, as well as gain valuable insights on market trends and other external factors that may impact your business. Aurum PropTech’s integrated ecosystem now collectively, boasts of 13+ products and services, 3,40,000 engaged customers, 2,000 crores plus GTV, 520 SaaS customers, 4,300 RaaS customers, 7,500+ channel partners, 600+ real estate developer relationships and a presence in 15 plus cities. The ecosystem is now structured under technology primarily encompassing enterprise tech, services – encompassing consumer tech and capital – focussing on fintech applications for real estate matrixed across the real estate value chain of development, monetization and consumption. For more information, visit www.aurumproptech.in
PropTech Pulse Editorial
15th February 2024
Technology and Innovation
Gen AI and the Changing Landscape of CRM
‘‘The purpose of a business is to create and keep a customer’’, Peter Drucker, a famous writer, and management consultant. Every business, lives, profits and grows with this mantra. Business that succeeded across all the previous industrial revolutions including mechanisation, electrification, automated production, and computation have one common trait. Each of this business not only changed consumer lives but also the experience of interaction with the business and utilisation of its product or service. So, what changes today, in the 4th industrial revolution that was set off by the advances in computing and information and communication technology and is built on 4IRs. Firstly, connectivity, data and computational power, second - analytics and intelligence, third human–machine interaction and fourth - advanced engineering. These form the 4 pillars of Industry 4.0. Technology, is only half of what businesses have to adopt and change. Two additional major factors that change the business environment are, customer demographics and behaviours and introduction of new business models. Marketing and sales strategies have fundamentally aligned on to the consumer behaviour of wanting goods and services on demand and scarcity of time and attention span. Information and content is delivered and consumed on mobile phones, with GenZ and Millennial tech savvy consumers attending only to content that they find targeted, relevant and authentic. Customers of today, in addition to goods and service also want convenience, self-service and personalisation. Some common traits of the contemporary customer are, that they are well informed and self-educated, self-directed, fast paced, picky, contradictory, always connected, volatile and tech innate. Beyond product and service innovation, new business models like freemium, pay-per-use, low monthly subscriptions are engaging consumers continuously to ensure sustainable revenue streams, reaching profitability and turning recent adopters into loyal customers. Thus, ensuring long lasting relationships with customers have become a key aspect for businesses. CRM has evolved gradually from Rolodexes of 1950s to Generative AI in 2020. What started as a record-keeping tool gradually evolved into digital documentation, sales automation, enterprise resource planning, and social marketing tools, to the present age hyper personalised automated communication form. The realm of CRM scope covers customer discovery, interactions, service, care, retention, and loyalty and is more often addressed as Digital CRM. In 2022, the worldwide size of CRM software stood at USD 96.3 billion. The Total Addressable Market is set to grow to USD 290 billion. Salesforce Inc, an early mover and a global market leader grew 10x in revenue in a decade. In 2013, its revenue stood at USD 3.1 billion which stands at USD 34 billion in FY 2022. CRM, which started as a simple Rolodex, has evolved into a complex system laced with artificial intelligence that helps organisations manage customer data and engage them with it in a self-assisted automated format, bringing huge implications for cost, efficiency, and the experience of consumer communication. Managing customer interactions with Gen AI and CRM Gen AI has the potential to enable a better connection between brands and customers. This however requires creative ability to engage customers and ability to execute to deliver better performance results and employee experiences. A combination of Gen AI and CRM can impact functional domains of marketing, sales, commerce, service, and customer success. Marketing Gen AI capabilities are ideally suited for the marketing function which requires content creation and creative generation. It will enable marketers increase their output, efficiency, and creativity. It provides a cost and time effective option for producing text, images, creative briefs, multiple versions of ad campaigns with variations. Most crucially, it will help marketers create personalised and engaging experience for customers at scale. Additionally, it will enhance idea creation, productivity and data driven planning and execution for marketing teams. Content development and personalisation of creatives will come at a reduced turn around time and cost. Conventional content creation methods which are time consuming, lack hyper personalisation at scale across multiple content formats with data driven insights on consumer behaviour. Brands are thus able to communicate through the most relevant content and most effective media at speed. Gen AI can create content across diverse platforms from blogs to social media posts to email campaigns, with a nuanced data backed understanding of the target audience and at the same time ensuring that the designed format, tone, and campaign outcomes are in sync. These elements are the most crucial for scale. Moreover, the ability to create versions of campaigns and content, marketers can execute A/B testing at speed and refine execution for optimal conversion. Ensuring standardisation of brand voice and tone with a synchronisation of specific target audience requirements with greater accuracy and speed, give Gen AI an edge over the conventional human creative teams. These are critical for brands with presence in multiple locations across different cultures and regional preferences. Real time sentiment analysis, that not only establishes positive , negative or neutral sentiment across key words and topics associated with the brand, but also analysis activation across broad competitive set to inform competitive benchmarking and rating. These insights make marketing teams better equipped to execute data insight driven campaigns. Tools for gen AI production are largely simplified and don’t require complex integrations into existing workflows. This, however, will require data management, tech stacks, governance, and operational capabilities for organisations to fully scale AI in marketing. Sales Product sales has evolved into providing tailored sales content across the customer’s early journey. Chatbots, real time Q&As, self-service portals, customised proposals and other features unlocked by Gen AI are not only reducing operational inefficiencies and administrative burdens but also enhancing the experience of purchasing products. Amongst key benefits of Gen -AI are : • Automation of administrative and lower value tasks like data entry, meeting notes, proposals, sales script etc. • Implementation and management of streamlined sales processes at scale across products and locations delivering features sales service value at a lower cost. • Training, onboarding and management of sales teams and resources can be done at speed and efficiency with increased standardisation in the sales pitches. • Channel partner and distribution networks managed across multiple territories and products. Channel networks can get personalised content, lead management support, incentive plans, and gamified leaderboards. Across the sale value chain Gen AI increases seller speed and productivity and also reduces the experience friction. Seller productivity gets efficiency by autoupdation of CRM using AI and machine leading to ensure that the sales pipeline data hygiene is maintained with a lesser administrative effort of data entries. It ensures, that there are smart prompts that aid pre-sales and sales team to enable them take brand specific , user insight driven and sales goal oriented actions. With Gen-Ais capabilities one case accurately gauge user interaction basis of past data and generate content tailored for the specific needs of the customers product or service requirements. Sales enablement Ensuring sales teams are equipped with the right set of product, service and consumer information with the right training content curated specifically to the sales member’s background. This is handy for large sales teams operating across multiple locations. With voice to text features, automated note taking, calendar and meeting management, sellers’ capacity is offloaded of administrative and low value work thus maximising capacity utilisation. Self-assisted customisation and configuration of products and services with real-time quotes and tailored pricing and offers ensure customer centricity in sales processes. The engagement becomes personalised, optimised and dynamic to the users requirements ensuring better experience of sale and probability of closure. Buyer profiling, with preferences and pattern analysis help sellers understand their needs and provide a tailored outreach. Bais of customers sentiment analysis from its communication forms of call transcripts and emails a probability of conversion and lead prioritisation helps sales teams prioritise their sales pipelines. Automated chatbots ensure human-like QnA experience with tailored yet standardised responses for customers ensuring they are kept engaged real-time and recommended products and services suited to their needs. Sales copilots also are an effective feature that help sales resources create specific communication to customer personas based on the stage of transaction. Commerce / transaction Every consumer engages digitally to consider or make a transaction. Gen AI features sets are reducing cart abandonment by delivering a hyper personalised buying experience with intuitive prompts by tailoring user journeys and promoting conversions. These tools ensure continuous engagement with the consumer for product information, comparison, pricing and delivery. Tools that help customers across intuitive search, personalised recommendations, enhanced feedback loop and streamlined shopping experience. Data driven personalises searches, recommendation and natural language bases search and recommendation options ensure quick transaction turnarounds. Product cataloguing and information listing becomes automated. Customers can also look at the products in 3 dimensions thus ensuring better visualisation and evaluation. With bespoke purchase plans, customer satisfaction and retention increase thus positively impacting sales numbers, experiences and band loyalty. Customer service and customer success Post transaction service experience becomes most critical for customers and brands alike considering the level of customised and tailored experiences that is brought on in the discovery and transaction phases of the user journeys. This is what leads to brand loyalty, repeatability of transactions and increased lifetime value of customers once onboarded on the brand or product portfolio. Prompt, real time and accurate self-service capabilities ensure faster customer grievance management and resolution. Virtual and human agents engaged in customer service are laced with fit-for purpose scripts, prompts, information, and training with automated tasks like follow up emails, and calls. This brings a multi fold increase to agent productivity. Gen AI and LLMs can analyse a customer’s profile and with automated workflows cater to their potential issues. With product catalogue assists there is an increase in cross sell and recommendations for customers increasing their wallet share efficiently. Agents are assisted with next best actions to ensure recommendations on additional products and features. The true potential of Gen AI can be unlocked best when used in combination with predictive AI, voice to text, experience management and workflow optimisation. In the customer success segment of the value chain, a faster time to value with efficient onboarding workflows ensure an improved customer experience and reduced customer churn. Training co-pilots, automated self assists bots and knowledge content driven prompts and actions ensure faster time to value realisation for customers. Given the depth and breadth of AI capabilities that can impact customers across the user journeys from marketing, sales, transactions, service and customer success, organisations and teams need to ensure that they are upskilled with tech , workflows and capabilities to deliver an enhanced customer experience. This can be ensured by doing 4 critical things. 1. What are the customer services opportunities one can identify, prioritise and phase for execution. 2. On identifying the use cases which are most critical for business objectives, the next important thing is to choose the platform or solution to deliver Gen-A features to for the specific use cases. Are these solutions meeting user needs? Does the organisation have the ability to deliver these? and do these solutions generate business goals an revenues. 3. On onboarding the solution or platform, one needs to ensure capability building to adopt, use and monitor the feature set. The resources, organisational structure and operating model required to deliver the solution. 4. Fourth, most crucial aspect is idenfitying risks of adoption and implementation and impact on customer from a compliance and governance stand point. Organisations that are constantly looking to improve customer interactions, create hyper personalised and differential experiences for their customers, and improve their operational efficiency will be the fastest to catch on to the Gen-AI driven revolution in customer relationship management space. Customers are ready , can organisations upskill, upgrade and uplift their game ?
PropTech Pulse Editorial
25th April 2024
Business Strategies
Proven Strategies on How to Improve Your Credit Score Fast: A Comprehensive Guide
Your credit score holds the key to your financial well-being. It determines your ability to secure loans, obtain favourable interest rates, lower insurance premiums, and even gives you better negotiating power. But how to improve your credit score? Let’s explore proven strategies that help you boost your credit score quickly to unlock future financial opportunities. What is credit score? A credit score is a numerical representation of your creditworthiness, ranging from 300 to 850. Lenders use this score to assess the risk of lending money to you. The higher your credit score, the more likely you are to be approved for loans and credit cards with favourable terms. How to know and analyse your credit score? You can obtain a free copy of your credit report from credit bureaus such as Equifax, Experian, CRIF High Mark or TransUnion. Review your report carefully. Check for errors, incorrect information, or fraudulent activity. Address any inaccuracies promptly. This can prevent the negative impact on your credit score. Strategies to improve your credit score Listed below are some of the quickest and most effective ways on how to improve your credit score fast: Avoid Late Payments Ensure that you pay off your bills in time. In case you have a negative credit history, remember it’s never too late. Use your credit card responsibly and start paying your installments on time. This way you can gradually rebuild your creditworthiness. Avoid bouncing of cheques or missing any payments, as these can severely damage your credit score. Complete Overdue Payments In case of overdue payments on loans or credit cards, visit your bank or lender and pay off the overdue amounts as soon as possible. Delinquent accounts have a significant impact on your credit score. Settling them promptly demonstrates your commitment towards responsible financial behaviour. Timely EMI Payments Be sure to pay off your EMI’s on time. Whether it's a car loan, home loan, or any other type of installment loan, meet your payment obligations on time consistently. This shows lenders that you are reliable and capable of managing your debts effectively. Avoid Multiple Home Loan Applications Do not apply for a home loan or any significant credit, to multiple banks simultaneously. Each application results in a hard inquiry on your credit report, which can lower your credit score. Instead, consider utilizing Aurum KuberX, a comprehensive platform that brings together more than 30 banks for you to conveniently choose the best interest rates and bank terms, all in one place. This not only saves you time but also safeguards your credit score from unnecessary inquiries. The platform also saves CIBIL score. Conclusion To improve your credit score fast you need to make consistent efforts that show responsible financial behaviour. You can gradually build-up your creditworthiness by understanding your credit report, avoiding late payments, settling overdue accounts, and making timely EMI payments. To start improving your credit score fast with Aurum KuberX, visit their website now and take advantage of their exceptional services. Remember, your credit score matters, and with the right strategies and the support of Aurum KuberX, you can pave the way to financial success.
PropTech Pulse Editorial
16th September 2024
Investment Opportunities
Indian PropTech Market: The $100 Billion Real Estate Tech Boom
Like a ship anchored to a familiar port, and hesitant to venture into new waters, India’s real estate sector too has remained fixated on traditional or legacy modes of operations for far too long. It now sits on the cusp of dramatic technological change, thanks to the debilitating impact of COVID-19, accelerated digital adoption and changing consumer behaviour. The global pandemic has cracked open the industry’s pain points, forcing market leaders to step up tech adoption to levels not witnessed before. The transformation in the country’s real estate landscape due to the application of new best practices has not only made businesses unrecognisable from their former avatar but also contributed to building up efficiencies and scale. The stage is therefore set for the overall Indian real estate market to grow to $1 trillion by 2030, from $200 billion in 2021. Amidst the ongoing upheaval, proptech or property technology, a subset of the industry, has emerged. Market reports show that Indian PropTech startup firms garnered more than $3.2 billion in funding across 255 deals between 2009 and 2021, underlining the huge success of the nationwide startup ecosystem initiated in 2015. Not only has there been a rise in the number of PropTech startups – from two in 2016 it has skyrocketed to an impressive 1,400 in 2022 – but substantial funding has been secured for such ventures pointing to growing investor confidence. Customer focus on increasing convenience, smart city initiatives, and the growth of the rental market is expected to further propel expansion of this sector. PropTech: The Savior! The growth of PropTech, which is essentially a marriage of property with technology, has led to critical real estate sector issues such as lack of transparency and trust. Adoption of PropTech is echoed across the entire real estate value chain including discovery, transaction, fulfilment, and utilisation. According to a report, more than 75% Buyers use digital channels to search homes, about 50% homebuyers use virtual tours before buying a property, 70% share of sales & marketing budget spent on digital strategies, 44% real estate agents use automated tools for lead generation and customer relationship management. In my view, the Midas Touch of digitisation and technology has significantly changed the face of the real estate industry, impacting the business operations of every stakeholder, including tenants, developers, brokers, and investors. Key categories of PropTech PropTech solutions are making an impact on rentals, distribution business and capital allocation. It impacts key stakeholders of developers, financers, channel partners, buyers, renters and property managers. PropTech 2030 will be a USD 100 billion opportunity emerging from solutioning of challenges and opportunities across these key stakeholders. It will encompass Construction Tech, Sales and marketing, Family rentals, Co-living, Co-working, Home services, Capital allocation and Land. The opportunity for PropTech in rental real estate stands at USD 14 billion which includes family rentals, co-living, co-working, home services and property management. The distribution of real estate will be a USD 23 billion and include sales and marketing, broker aggregation, CRM and lead generation businesses. The opportunity for capital stands at USD 4 billion including fractional ownership, neo reality investments, and loan recommendation services. Emerging Tech Continuing technological advancements have revolutionised and reshaped the nature of real estate operations and interaction with customers. This is reflected in improved transparency, efficiency, and empowerment of buyers and investors. It would be useful to look at the principal benefits of applying some of the solutions: Improved discovery: Digital transformation is facilitating the creation of online real estate marketplaces, connecting buyers, sellers, landlords, and tenants in real-time, making transactions faster, efficient, and location independent. Convenience of online tours: The use of Virtual Reality (VR) and Augmented Reality (AR) technology has ushered in the convenience of showcasing properties online for customers who cannot be physically present to view them. These apps not just help buyers take virtual tours of potential real estate from the comfort of homes but are embedded with features that allow for space visualisation and interior designing by overlaying digital information onto physical spaces. Personal real estate assistant at your service: Chatbots, which make use of AI-powered algorithms, further contribute to user convenience and experience by providing prompt responses and facilitating effective property searches. Personalised property recommendations based on customer preferences, budget, and location ensure customers can see properties that align with their specific needs. It is all about making informed decisions: The use of Big Data and predictive analysis offer insights into property values and investment opportunities, thus empowering buyers and investors to make informed decisions. Sustainability is the new black: There is growing public empathy about reducing carbon emissions for a green future, and PropTech fosters sustainability through various tools, which assess property health. Homes and offices are becoming smart with IoT-enabled devices enabling automation, energy efficiency, and security. Ease of managing transactions: Real estate transactions can be quite a tedious and overwhelming experience both for buyers and sellers leading some to become averse to going through the entire process. Blockchain technology streamlines property transactions by providing a secure and transparent platform for recording property ownership, managing contracts, and facilitating peer-to-peer transactions. Improved network: Digital transformation is facilitating the creation of online real estate marketplaces, connecting buyers, sellers, landlords, and tenants in real-time, making transactions faster, efficient, and location independent. Construction technology: These are exciting times for the real estate sector with constructors deploying various tools to raise the efficiency bar of projects. These include drones deployed to monitor construction, 3D Printing, aluminium formwork, and other technologies incorporated. Challenges and Opportunities for Businesses While PropTech holds immense prospects for India, the real estate industry has been found to move at a snail’s pace. If businesses are laggard at present, it largely owes to resistance from stakeholders hesitant to embrace digital innovations. Further, the sensitivity of customer data exposes market players to vulnerabilities, making the presence of robust data privacy and security measures crucial to establish customer trust. The other limitations include the high initial investments required for technology development. The collaboration gap between traditional real estate players and PropTech startups serves to stonewall the growth of PropTech businesses. Under the leadership of Hon' Prime Minister Shri Narendra Modi, India witnessed major policy push across four key areas, including the digitization of land records and real estate transactions under the Digital India Land Record Modernisation Programme (DILRMP), transparency in real estate transactions under demonetization and Goods and Services Tax implementation , regulation of real estate development and licensing of service providers under RERA (Regulation and Development) Act, 2016), and reforms of the rent control act under the Model Tenancy Act 2021. As a result of this and increased confidence on the Indian leadership, the sector has attracted USD 26.6 billion in foreign institutional inflows between 2017 and 2022. The good thing here is that a foundation has been laid to provide an environment conducive to growth. PropTech’s potential to further maximise its reach in the Indian real estate industry is immense. As technology continues to evolve, real estate technology firms will have greater opportunities to create transparency, efficiency, and customer-centricity in the market to drive the business forward. There is a greater need for industry players to realise that tech adoption is a necessity for growth and not just an option. Indeed, the winds of change are blowing. It’s about time India’s real estate ship, rigidly anchored in old legacies, sets sail towards a dynamic, more innovative, digital future. Embracing the PropTech revolution Considering the evolving real estate landscape, Aurum PropTech has developed an integrated ecosystem with a range of Technology, Services and Capital led solutions that address key industry challenges and opportunities. Through an integrated data strategy Aurum operates technology businesses rental real estate, buy and sell real estate sector and financing of real estate. With the right tools and systems in place, you can collect and track data about your properties and tenants, as well as gain valuable insights on market trends and other external factors that may impact your business. Aurum PropTech’s integrated ecosystem now collectively, boasts of 13+ products and services, 3,40,000 engaged customers, 2,000 crores plus GTV, 520 SaaS customers, 4,300 RaaS customers, 7,500+ channel partners, 600+ real estate developer relationships and a presence in 15 plus cities. The ecosystem is now structured under technology primarily encompassing enterprise tech, services – encompassing consumer tech and capital – focussing on fintech applications for real estate matrixed across the real estate value chain of development, monetization and consumption. For more information, visit www.aurumproptech.in
PropTech Pulse Editorial
15th February 2024
Technology and Innovation
Gen AI and the Changing Landscape of CRM
‘‘The purpose of a business is to create and keep a customer’’, Peter Drucker, a famous writer, and management consultant. Every business, lives, profits and grows with this mantra. Business that succeeded across all the previous industrial revolutions including mechanisation, electrification, automated production, and computation have one common trait. Each of this business not only changed consumer lives but also the experience of interaction with the business and utilisation of its product or service. So, what changes today, in the 4th industrial revolution that was set off by the advances in computing and information and communication technology and is built on 4IRs. Firstly, connectivity, data and computational power, second - analytics and intelligence, third human–machine interaction and fourth - advanced engineering. These form the 4 pillars of Industry 4.0. Technology, is only half of what businesses have to adopt and change. Two additional major factors that change the business environment are, customer demographics and behaviours and introduction of new business models. Marketing and sales strategies have fundamentally aligned on to the consumer behaviour of wanting goods and services on demand and scarcity of time and attention span. Information and content is delivered and consumed on mobile phones, with GenZ and Millennial tech savvy consumers attending only to content that they find targeted, relevant and authentic. Customers of today, in addition to goods and service also want convenience, self-service and personalisation. Some common traits of the contemporary customer are, that they are well informed and self-educated, self-directed, fast paced, picky, contradictory, always connected, volatile and tech innate. Beyond product and service innovation, new business models like freemium, pay-per-use, low monthly subscriptions are engaging consumers continuously to ensure sustainable revenue streams, reaching profitability and turning recent adopters into loyal customers. Thus, ensuring long lasting relationships with customers have become a key aspect for businesses. CRM has evolved gradually from Rolodexes of 1950s to Generative AI in 2020. What started as a record-keeping tool gradually evolved into digital documentation, sales automation, enterprise resource planning, and social marketing tools, to the present age hyper personalised automated communication form. The realm of CRM scope covers customer discovery, interactions, service, care, retention, and loyalty and is more often addressed as Digital CRM. In 2022, the worldwide size of CRM software stood at USD 96.3 billion. The Total Addressable Market is set to grow to USD 290 billion. Salesforce Inc, an early mover and a global market leader grew 10x in revenue in a decade. In 2013, its revenue stood at USD 3.1 billion which stands at USD 34 billion in FY 2022. CRM, which started as a simple Rolodex, has evolved into a complex system laced with artificial intelligence that helps organisations manage customer data and engage them with it in a self-assisted automated format, bringing huge implications for cost, efficiency, and the experience of consumer communication. Managing customer interactions with Gen AI and CRM Gen AI has the potential to enable a better connection between brands and customers. This however requires creative ability to engage customers and ability to execute to deliver better performance results and employee experiences. A combination of Gen AI and CRM can impact functional domains of marketing, sales, commerce, service, and customer success. Marketing Gen AI capabilities are ideally suited for the marketing function which requires content creation and creative generation. It will enable marketers increase their output, efficiency, and creativity. It provides a cost and time effective option for producing text, images, creative briefs, multiple versions of ad campaigns with variations. Most crucially, it will help marketers create personalised and engaging experience for customers at scale. Additionally, it will enhance idea creation, productivity and data driven planning and execution for marketing teams. Content development and personalisation of creatives will come at a reduced turn around time and cost. Conventional content creation methods which are time consuming, lack hyper personalisation at scale across multiple content formats with data driven insights on consumer behaviour. Brands are thus able to communicate through the most relevant content and most effective media at speed. Gen AI can create content across diverse platforms from blogs to social media posts to email campaigns, with a nuanced data backed understanding of the target audience and at the same time ensuring that the designed format, tone, and campaign outcomes are in sync. These elements are the most crucial for scale. Moreover, the ability to create versions of campaigns and content, marketers can execute A/B testing at speed and refine execution for optimal conversion. Ensuring standardisation of brand voice and tone with a synchronisation of specific target audience requirements with greater accuracy and speed, give Gen AI an edge over the conventional human creative teams. These are critical for brands with presence in multiple locations across different cultures and regional preferences. Real time sentiment analysis, that not only establishes positive , negative or neutral sentiment across key words and topics associated with the brand, but also analysis activation across broad competitive set to inform competitive benchmarking and rating. These insights make marketing teams better equipped to execute data insight driven campaigns. Tools for gen AI production are largely simplified and don’t require complex integrations into existing workflows. This, however, will require data management, tech stacks, governance, and operational capabilities for organisations to fully scale AI in marketing. Sales Product sales has evolved into providing tailored sales content across the customer’s early journey. Chatbots, real time Q&As, self-service portals, customised proposals and other features unlocked by Gen AI are not only reducing operational inefficiencies and administrative burdens but also enhancing the experience of purchasing products. Amongst key benefits of Gen -AI are : • Automation of administrative and lower value tasks like data entry, meeting notes, proposals, sales script etc. • Implementation and management of streamlined sales processes at scale across products and locations delivering features sales service value at a lower cost. • Training, onboarding and management of sales teams and resources can be done at speed and efficiency with increased standardisation in the sales pitches. • Channel partner and distribution networks managed across multiple territories and products. Channel networks can get personalised content, lead management support, incentive plans, and gamified leaderboards. Across the sale value chain Gen AI increases seller speed and productivity and also reduces the experience friction. Seller productivity gets efficiency by autoupdation of CRM using AI and machine leading to ensure that the sales pipeline data hygiene is maintained with a lesser administrative effort of data entries. It ensures, that there are smart prompts that aid pre-sales and sales team to enable them take brand specific , user insight driven and sales goal oriented actions. With Gen-Ais capabilities one case accurately gauge user interaction basis of past data and generate content tailored for the specific needs of the customers product or service requirements. Sales enablement Ensuring sales teams are equipped with the right set of product, service and consumer information with the right training content curated specifically to the sales member’s background. This is handy for large sales teams operating across multiple locations. With voice to text features, automated note taking, calendar and meeting management, sellers’ capacity is offloaded of administrative and low value work thus maximising capacity utilisation. Self-assisted customisation and configuration of products and services with real-time quotes and tailored pricing and offers ensure customer centricity in sales processes. The engagement becomes personalised, optimised and dynamic to the users requirements ensuring better experience of sale and probability of closure. Buyer profiling, with preferences and pattern analysis help sellers understand their needs and provide a tailored outreach. Bais of customers sentiment analysis from its communication forms of call transcripts and emails a probability of conversion and lead prioritisation helps sales teams prioritise their sales pipelines. Automated chatbots ensure human-like QnA experience with tailored yet standardised responses for customers ensuring they are kept engaged real-time and recommended products and services suited to their needs. Sales copilots also are an effective feature that help sales resources create specific communication to customer personas based on the stage of transaction. Commerce / transaction Every consumer engages digitally to consider or make a transaction. Gen AI features sets are reducing cart abandonment by delivering a hyper personalised buying experience with intuitive prompts by tailoring user journeys and promoting conversions. These tools ensure continuous engagement with the consumer for product information, comparison, pricing and delivery. Tools that help customers across intuitive search, personalised recommendations, enhanced feedback loop and streamlined shopping experience. Data driven personalises searches, recommendation and natural language bases search and recommendation options ensure quick transaction turnarounds. Product cataloguing and information listing becomes automated. Customers can also look at the products in 3 dimensions thus ensuring better visualisation and evaluation. With bespoke purchase plans, customer satisfaction and retention increase thus positively impacting sales numbers, experiences and band loyalty. Customer service and customer success Post transaction service experience becomes most critical for customers and brands alike considering the level of customised and tailored experiences that is brought on in the discovery and transaction phases of the user journeys. This is what leads to brand loyalty, repeatability of transactions and increased lifetime value of customers once onboarded on the brand or product portfolio. Prompt, real time and accurate self-service capabilities ensure faster customer grievance management and resolution. Virtual and human agents engaged in customer service are laced with fit-for purpose scripts, prompts, information, and training with automated tasks like follow up emails, and calls. This brings a multi fold increase to agent productivity. Gen AI and LLMs can analyse a customer’s profile and with automated workflows cater to their potential issues. With product catalogue assists there is an increase in cross sell and recommendations for customers increasing their wallet share efficiently. Agents are assisted with next best actions to ensure recommendations on additional products and features. The true potential of Gen AI can be unlocked best when used in combination with predictive AI, voice to text, experience management and workflow optimisation. In the customer success segment of the value chain, a faster time to value with efficient onboarding workflows ensure an improved customer experience and reduced customer churn. Training co-pilots, automated self assists bots and knowledge content driven prompts and actions ensure faster time to value realisation for customers. Given the depth and breadth of AI capabilities that can impact customers across the user journeys from marketing, sales, transactions, service and customer success, organisations and teams need to ensure that they are upskilled with tech , workflows and capabilities to deliver an enhanced customer experience. This can be ensured by doing 4 critical things. 1. What are the customer services opportunities one can identify, prioritise and phase for execution. 2. On identifying the use cases which are most critical for business objectives, the next important thing is to choose the platform or solution to deliver Gen-A features to for the specific use cases. Are these solutions meeting user needs? Does the organisation have the ability to deliver these? and do these solutions generate business goals an revenues. 3. On onboarding the solution or platform, one needs to ensure capability building to adopt, use and monitor the feature set. The resources, organisational structure and operating model required to deliver the solution. 4. Fourth, most crucial aspect is idenfitying risks of adoption and implementation and impact on customer from a compliance and governance stand point. Organisations that are constantly looking to improve customer interactions, create hyper personalised and differential experiences for their customers, and improve their operational efficiency will be the fastest to catch on to the Gen-AI driven revolution in customer relationship management space. Customers are ready , can organisations upskill, upgrade and uplift their game ?
PropTech Pulse Editorial
25th April 2024
Ask Pulse Ai anything about real estate
Unlock the Latest in Real Estate
News, Infographics, Blogs & More! Delivered to your inbox.
