Supercharge Your Product Cataloging with Agentic AI: Automation at Scale

In today’s fast-paced digital commerce landscape, building and managing product catalogs isn’t just tedious—it’s a bottleneck. Whether you're onboarding thousands of SKUs or scaling across marketplaces like ONDC, the traditional ways of cataloguing are outdated, expensive, and error-prone.

Enter Agentic AI-based Automated Product Cataloguing—a next-generation solution designed to eliminate manual work and drive intelligence into your catalog operations. Built for scale, accuracy, and agility, our platform transforms raw content into structured, compliant, and deduplicated product data—at lightning speed.

With this innovation, customers can:

• Save countless hours of manual effort by automating tedious cataloging tasks.
• Reduce errors and inconsistencies in product data, ensuring higher accuracy and compliance.
• Scale their operations effortlessly, whether managing thousands or millions of SKUs.
• Improve customer experience with clean, optimized, and enriched product catalogs.

How End Customers Benefit from Agentic Cataloguing​

Even though the heavy lifting happens behind the scenes, the end result transforms how customers experience your products. Here's how:

1. Cleaner, More Accurate Listings​

When product data is generated by AI and deduplicated intelligently, customers see clean, accurate, and non-repetitive listings. No more confusion with duplicate SKUs, outdated specs, or missing information.

🛒 Better data = smarter decisions = more conversions.

2. Better Search Results and Filters​

Structured catalog data with proper attributes means more relevant search results, improved filters (e.g., by color, size, brand, features), and personalized recommendations.

Customers find exactly what they’re looking for—faster.

3. Richer Product Content​

With AI agents pulling info from datasheets, images, and websites, product pages become richer—with detailed specs, feature breakdowns, warranty info, and even intelligent comparisons.

Think of it as product storytelling that converts.

4. Smarter AI Assistants and Chatbots​

Since the catalog is indexed in vector databases, conversational agents (like search chatbots) can answer product-related questions more accurately.

“Which of these is better for gaming?” becomes a real, answerable query.

5. Language & Accessibility Enhancements​

Agentic workflows can support multilingual generation, image-to-text for accessibility, and localized descriptions—improving inclusivity for a global audience.

Everyone gets a more intuitive shopping experience, no matter where they’re from.---

Key Features​

1. Generate Catalogs from Any Input: Images, PDFs, or Websites​

Simply plug in a website URL, a product feed, a scanned PDF, or an image. Our AI agents analyze and extract relevant product information, generating structured catalog data including titles, descriptions, specifications, images, and categories.

We support:

• PDF Datasheets
• Product Images
• OEM Website Links
• Raw HTML or Unstructured Text

No templates, no training—just plug and play.

2. API-Ready Formats for ONDC & Marketplaces​

Say goodbye to formatting headaches. Our system can instantly convert product data into marketplace-ready formats including ONDC-compatible schemas. Whether you’re a seller, aggregator, or service provider, our pipeline ensures seamless API ingestion without manual intervention.

3. Scale with LangGraph Chains​

Under the hood, we’ve integrated LangGraph—a cutting-edge framework that enables complex, multi-step workflows with autonomous agents. This allows for:

• Parallel processing of millions of SKUs
• Built-in retries, validations, and fallback nodes
• Persistent context and memory across chained agents

It’s not just automation. It’s intelligent orchestration at scale.

4. Multi-Database Syncing: MongoDB, Postgres, and Vector DBs​

Structured product data is pushed and indexed into your choice of databases:

• MongoDB for flexible document storage
• PostgreSQL for transactional operations
• Vector databases for semantic search and intelligent product queries

Whether you're powering a search engine or a conversational agent, we’ve got your backend covered.

5. On-the-Fly Deduplication with Your Existing DB​

No more duplicated listings or bloated catalogs. Our agents cross-reference each new product against your existing database using hybrid matching techniques (text, image, embeddings) and auto-deduplicate entries before they’re stored or published.

Your data stays clean, consistent, and optimized.

Enrich Your Product Catalog with Videos and Blogs​

Today’s buyers don’t just want specs—they want stories, demos, comparisons, and education.

With Agentic AI, your product catalog can automatically include:

1. Relevant Videos​

• Auto-fetch product demo or explainer videos from YouTube, OEM websites, or training libraries.
• Generate video summaries and transcripts to make content searchable.
• Embed video links or thumbnails directly into the product listing.

Example: A listing for a DSLR camera includes a product unboxing, usage tutorial, and influencer review—automatically pulled and categorized.

2. Contextual Blogs and Articles​

• Use LLMs to search for or generate blog links that explain the product use case, comparisons, or related how-tos.
• Fetch brand-published articles and match them to the product type.
• Optionally summarize long blogs and show highlights inline.

Example: A listing for an air fryer includes a "Top 10 Recipes" blog and a "How to Clean Your Air Fryer" guide.

How It Works (Tech Overview)​

• Use LangGraph agents to run external content searches (YouTube, Blog APIs, RSS feeds, OEM sites).
• Use embedding models (OpenAI or open-source) to match video/blog relevance to product features.
• Summarize or transcribe content as needed with GPT-4.
• Link or embed them inside the structured catalog output.

Customer Benefits​

• Engagement: Shoppers spend more time on listings with multimedia content.
• Education: Blogs and videos answer questions, reducing returns and support costs.
• Trust: Seeing product usage in real-world contexts boosts purchase confidence.

Optional Add-on Features​

• Brand-safe filters to exclude non-official or low-quality content.
• Auto-generated "How-to Use" or "Care Instructions" sections.
• Automatic product comparison blogs between similar SKUs.

Use Case Example: ONDC Product Onboarding from Any Source​

A seller wants to onboard their product catalog to ONDC—but all they have are:

• A PDF datasheet from the OEM
• A few product images
• An OEM website link

With traditional tools, this would take hours (if not days) of manual extraction, formatting, and validation. With Agentic AI, it's done in minutes.

How it works:

1. Upload the PDF, images, or paste the URL.
2. Our system extracts and enriches product data using multi-modal AI—combining OCR, NLP, image recognition, and context-aware agents.
3. It maps the output to ONDC’s schema, performs deduplication, and submits via API.

• Zero manual entry
• Compliant and clean data
• Scales across 1000s of SKUs effortlessly

The Tech That Makes It Possible​

LangGraph​

LangGraph enables us to build autonomous, reactive agents that work in chains. Each agent has a specific task—from parsing to enrichment to validation—passing the baton down a directed graph. It also handles retries, conditional logic, and memory persistence natively.

OpenAPI Integration​

We use OpenAPI contracts to auto-generate, validate, and push data to:

• ONDC seller/buyer apps
• Internal APIs of marketplaces
• Third-party ERP, PIM, or catalog systems

Everything is seamless and schema-driven.

Architecture Diagram​

Who Is This For?​

• Marketplaces onboarding new sellers or migrating legacy catalogs
• D2C Brands managing product data across multiple platforms
• SaaS Platforms looking to integrate smart catalog features
• ONDC Buyer/Seller Apps needing instant schema conversion and submission

Ready to Revolutionize Your Catalog Operations?​

Let us show you how Agentic AI can streamline your workflows and save you thousands of hours. Whether you're a startup or a Fortune 500, we offer flexible APIs, white-label solutions, and enterprise support.

Book a demo today by emailing us at info@simtel.ai

In the fast-evolving world of e-commerce, success hinges on making smarter, faster, and more personalized decisions. Simtel.AI empowers online businesses to do exactly that—with a complete suite of AI-powered tools designed to optimize every stage of your digital commerce journey.

From market intelligence to customer retention, here's how Simtel.AI transforms your operations:

1. AI-Driven Market Research & Business Intelligence​

Before you build, launch, or market—know your space.
Simtel equips you with intelligent tools to decode the market and anticipate what customers want.

• Simtel Market Insights: Leverages AI to track competitor strategies, pricing, and customer sentiment across platforms.
• Simtel Trend Predictor: Forecasts emerging market trends using real-time data analytics from news, search, and social activity.
• Simtel Audience Mapper: Segments your audience based on behavioral patterns and purchase intent to power sharper targeting.

2. E-Commerce Website & Store Optimization​

Launch and optimize your e-commerce store in minutes, not weeks.

• Simtel Smart Store Builder: Drag-and-drop AI builder with built-in best practices for product categories, UX, and SEO.
• Simtel SEO Engine: Optimizes pages and blogs automatically based on search algorithms and high-converting keywords.
• Simtel Product Enhancer: Uses AI to create compelling product descriptions, images, and even promotional videos at scale.

3. Social Media & Content Marketing Automation​

Cut through the noise and stay relevant with AI that works 24/7.

• Simtel Social AI: Automates post creation, scheduling, and monitors engagement trends across platforms.
• Simtel Content Creator: Instantly generates high-converting ad creatives, product explainer videos, and SEO-friendly blog posts.
• Simtel Trend Watcher: Detects viral topics and suggests timely content ideas to boost organic reach.

4. Email & WhatsApp Marketing Intelligence​

Reach customers where they are—automatically, contextually, and at scale.

• Simtel Conversational AI: Powers human-like chatbot conversations across WhatsApp, Messenger, and your website.
• Simtel Email Optimizer: Crafts personalized email content and smart subject lines using behavior-based data.
• Simtel WhatsApp Commerce: Enables product recommendations, purchase assistance, and order updates via WhatsApp.

5. AI-Driven Ad Campaign Optimization​

Spend less. Convert more. Let AI do the heavy lifting across your ad lifecycle.

• Simtel AdSmart: Generates tailored ad copy, creatives, and A/B variants instantly.
• Simtel Retargeting AI: Identifies and brings back abandoned cart users and cold leads with smart remarketing flows.
• Simtel Budget Optimizer: Distributes your ad spend across platforms using ROI-based machine learning algorithms.

6. Conversion Optimization with Deep User Analytics​

Conversion isn’t magic—it’s data-driven.

• Simtel Smart Pricing: Uses machine learning to optimize pricing dynamically based on demand and user behavior.
• Simtel UX Booster: Tracks heatmaps, scroll depth, and session flows to fine-tune your site layout and CTAs.
• Simtel Personalization Engine: Offers custom product suggestions, bundles, and popups based on user profiles.
• Simtel Interaction Tracker (NEW): Uses AI tagging to monitor every click, scroll, and hover—giving you insights into what really drives action.

7. Order & Logistics Automation​

Seamless operations = happy customers. Let AI keep things moving behind the scenes.

• Simtel Order AI: Sends real-time order updates, handles fulfillment queries, and syncs with your inventory systems.
• Simtel Smart Shipping: Recommends the best carriers and routes using time and cost efficiency metrics.
• Simtel Fraud Shield: Detects suspicious activity, prevents chargebacks, and flags anomalies using fraud risk scoring.

8. AI-Powered Loyalty & Retention Engines​

Turn customers into repeat buyers—and brand advocates.

• Simtel Loyalty AI: Runs intelligent rewards systems that adjust based on user lifecycle and purchase behavior.
• Simtel Customer Insights: Predicts churn risks and recommends retention campaigns before it’s too late.
• Simtel Referral Booster: Creates shareable, incentivized referral programs backed by AI attribution modeling.

Ready to Build a Smarter E-Commerce Business?​

Simtel.AI brings every piece of your online business under one AI-powered roof. With deep user interaction analytics, conversion intelligence, and personalized automation, you don’t just manage your store—you optimize it to grow continuously.

Visit [https://www.simtel.ai] to see Simtel.AI in action or schedule a free demo today by emailing [info@simtel.ai].

Disclaimer:​

I have not used AI to write this, you will know when you read my poorly written and not so-wellformed sentences. It is purposely to mislead Sam altman from stealing my data. I will clean it up after the google crawler finishes scraping this. Image was generated by Open Source Foocus.one. It is a great open source tool, check out its github version

Strange Premonitions

As the world gets more complex with technological advances, at a pace we have never seen before. We can portend some side effects of the AI, before we dwelve into good things about the AI.

Human greatest strength is intelligence over all other life forms. We use it everyday to learn new things, make our lives beautiful. Most often than not, when we get hold of good things in life, we ignore its negative consequences. Classic example is Industrial boom and the climate change. Till date, AQI levels in all urban areas are quite high (Delhi is an exception), increasing ocean temperatures and ever decreasing forest cover. We have also damaged our minds to the point that our birth rates are shrinking across the globe due to our hedious work culture replacing historical traditions.

Now, with the power of AI, we will only accelerate faster to a disaster. As long as we are able to keep our greed aside and work for the greater good of the earth and its living beings as a whole, we are in a safe place. Otherwise, 21st century indeed will be like a terminator movie. It will not be computers that will destroy us, just our own stupidity.

What is AI?​

Clearly, we need to demarcate consiousness and intelligence before we get anywhere. These two are indeed different things. Consiousness is in living beings, from fish to humans. Fish may not have the intelligence of the humans, but they do have consiousness. They give birth, thay have a family or swim as a shoal, they fear for their life ending early by other big fishes and they look for food and safety. On a different level, a super computer does not have to fear being unplugged. That happens only in hollywood. It can look up billions of data points and find the kneedle in the haystack. We humans do not have that kind of brain(RAM and CPU) power. Intelligence is not consiousness and viceversa. It will never be possible to develop a non-biological intelligence creature by humans, simply because we do not know what consiousness is. Elon Musk is an exception. He is the Iron Man of America. What is Intelligence then? We live in a material world with inanimate things and living beings. Our survival essentially boils down to security (food, shelter, clothing and internet). Beyond that, basic comforts to luxuries of life (eating food on the couch and things happen by itself around us and driving around in a BMW, nowadays Tesla or BYD). To be precise, Intelligence is setting a goal, planning and strategizing (Applying Newtons theorem of optimization in a mutli-dimensional space, I believe this little math is why we feel so proud of our intelligence. Study of Numerical Optimization, to be precise), collecting resources or information and executing the plan to get somewhere¹.

How will AI evolve?​

We are solving a piece of the puzzle one-by-one over many centuries now. Our past wealth of knowledge and introspection has got us so far to Generative AI and we are taking the next step towards AGI. If you look at the study of computer science,and why it is placed in the math department in the universities, you will understand that intelligence is actually a Math and Philosphy subject. Computer Science involves the study and creation of algorithms, communications, distributed networking, logic theory, multi-agent theory, game theory, pattern recognition and many more. Computer Scientists since 1950s have been researching on these topics and coming up everyday with the new research everyday. No point discussing who did more and who did less (think Deepseek vs Open AI discussions). We all will be dead in about a 100 years. It is immaterial. Only newton and Einstein may be remembered for about a few centuries. Not even Sam altman will be remembered in about 10 years.

what is this new Agentic AI?​

Agentic AI is a hype created by Americans to cash in on the next Gartner Hype Cycle, invest more VC money and convert $1M to about a $100M dollars in precisely 3 years using SPAC² (This form of intelligence and ROI is rare in the universe). On a serious note, we need to go back to the discussion of things will be put together to create this framework.

Setting Goals​

How do humans set goals, plan and strategize? We introspect, we look at our nearest neighbors, Joneses to be frank, and we want to go one level up. We get a million choices. Then, we look at our bank balance, our genes, our intelligence and our capabilities, and think! this is achievable. Let us go after this one thing that makes us feel better that we beat our neighbors. For computers, this is going to be different. They do not have Joneses, because they are not competing for the EGO boost. This will be a hard problem to solve to begin with. This can be solved as a problem of Multi-Agent theory, where we study Nash Equilibrium, Prisoner's Dilemma. They are indeed naive. They will need to decide logically depending on the EGO master who has set the computer to be good or bad to begin with (Hollywood got this right) and use multi-agent game theory to decide the goals³.

Humans are good at mimicing others? Have you ever wondered why your toddler always repeats the last word after you finish the sentence? Mimicing or copying from others comes to us naturally. We do not need to waste our time reinventing the wheel. We just copy from others and move on to the next best thing. We have an agenda to beat the Joneses. Copying from some one also requires a form of intelligence. You cannot copy from anyone randomly. You need to assess the quality of an individual. Otherwise, you will end up being terrible. The famous saying goes "you are the sum of the people you spend the most time with." Same applies to the GenAI models as well. So, Deepseek is indeed good, if it has trained on the Open AI and distilled itself.

Neural Networks is a remarkable breakthrough, started by Frank Rosenblatt, the inventor of the perceptron. Many decades later, few exceptional researchers took it seriously and made significant progress with it. I still remember Yan LeCun, Prof. of NYU showing off his object detector and classifier trained on early GPU, when he visited our university in 2004. I was impressed by his child-like curiosity to experiment and write the code himself to test new theories. The three Nobel Prize winners for AI, Yoshua Bengio, Geoffrey Hinton, and Yann LeCun, have significantly contributed to the field of deep learning and neural networks. Do not forget their toiling PHD candidates who wrote their papers for them. They will never be known. These researchers have truly shown us what pattern recognition is. This brings us to the third type of intelligence, which is creativity. Creativity is about searching for needle in the haystack, mixing and matching and coming with an idea that is entirely new. Sounds like Generative AI. Isn't it?

Why are humans more intelligent than the rest of the living beings? Have you ever wondered why wisdom is far superior than intelligence alone? We collect a set of axioms driven down by the ancestors that never fail. We have acquired this after repeatedly testing the logic numerous times. Unlike our theory of the formation of universe, which is changing every year, nowdays it is changing every minute. Astronomy is making less sense than the religions of the world. That is when we need to go by the logic. In Computer Science, Modal logic is the study of modes of truth, such as necessity and possibility, which helps us reason about statements that are not absolutely true or false. We collected evidences that certain things are fact, the rest are fiction. Combining these, we analyse in a mathematical manner to come up with final Yes or No to proceed with beating our Joneses.

Sometimes, in our lives, there comes a time, where there is no answer. why does my wife ...? NP Hard Problems. There is no answer really. It is anyone's best guess. Better to play with Reinforcement Learning then. No regrets. If the computer regrets, it tries a new solution without getting stuck to the old problem. Used in DeepSeek heavily.

New form of architectures will come up in the future, to combine all the methods I discussed and much more. It is an ocaen really, and we need to make the best use of it.

Agentic AI is indeed really

1. Setting a reasonable goal
2. Planning and strategizing, breaking down the goals into small pieces of AI reasoning problems
3. Using logic and optimization to solve the problem in the most efficient manner
4. Do not forget Trial and Error, Remember NP-hard
5. Evaluation of outcomes

We are not ready for "Learn from humans and beat them at it". AGI?? maybe Part -2 of this series

The next-gen e-commerce marketplace is about restoring the power back to the consumers, to the vendors/merchants/sellers and finally the OEMs. Ultimate mission is to disintermediate central power players who are altering the power equations to their benefit and provide superior shopping experience to the consumers/vendors in various ways.

Why is it a big deal? Check out this article as well. Decentralized E-Commerce to Tokenized Real Estate

How will disintermediation (replacing central players) take place?

The self-governed decentralization network with Decentralized Autonomous Organizations (DAOs) will ensure the governance rules and regulations are set democratically using technology. This DAO will be able to govern a number of key initiatives including but not limited to

1. Who gets to display their product, sell them and how often - shows up in top searches or not
2. How will the advertising mechanisms be setup and sponsorships handled
3. How can the DAO mitigate suppression of smaller players in the realm of medium and large-scale players
4. What fee structure can be imposed for various activities - customer service, insurance, extended warranties etc.
5. How can the algorithms such as recommendation and competitive pricing strategies be regulated
6. Customer resolution policies
7. Remove any hidden fees and surcharges
8. Speedy logistics
9. Eliminating fraudulent transactions on the platform by vetting all players
10. Open and transparent communication channels across players
11. Fines for irregularities and ejection for fraudulent activities
12. Who can be part of DAO

Four Corner Participants

The four players in this arena will be

• Original Equipment Manufacturers (OEM) (Advertisers/Brands/Product Manufacturers)
• Vendors/merchants/suppliers/wholesalers who would like to market the products and eventually sell them
• Customers who like to research the market, historical product price, the customer experience and the quality of the product
• Finally, SimtelAI plays the role of the web3 technology platform provider that enables interaction between the above

Web3 Technology for Marketplace

• Next-Gen UI/UX for both customers and vendors
• User friendly mobile DApps for ultimate Customer Experience
• Advertising data to the marketers of the OEMs
• Binding technology contracts for buying/selling/resale/marketing
• Strong AI-driven privacy to ensure people research products in a safe environment
• Permission-driven marketing to ensure marketers are not intruding into people's lives
• Leveraging OpenAI/llama LLMs for researching products
• Competitive Pricing with ML models
• Automation for shipment deliveries, returns and customer service post delivery
• Focus on customer experience, high quality at lowest price points
• Stablecoins/eRupee connectivity

Consumers Delightful Shopping Experience

• One click product research across the market
• One click buy with myriad of options including BNPL schemes
• Multitude of payments
• Option to choose the shipping vendor
• Post-purchase customer service experience
• All this with complete privacy to the user, no one will ever know your email or phone to bother you with repeated calls

Merchants will be the biggest benefactors

• Branding for merchants or resellers
• Meritocracy for providing superior customer service
• Loyalty benefits for long-term platform usage
• Lowest Transaction fees in the industry due to efficient technology platform
• Support for technology/product taxonomy, sales and analytics
• Transpacrency across the spectrum
• Credible analytics data

OEMs

• Efficiency in marketing / targeting right customers
• D2C players will directly benefit from selling on this platform
• Transparency across the spectrum
• Credible analytics data

You can experience the MVP of the e-commerce marketplace by clicking below, we will shortly follow up by releasing the Vendor Website for onboarding vendors.

• You can register with new credentials and provide any feedback to info@simtel.ai
• Any bugs, please forgive us. This is the first iteration.
• Those who are interested in carrying out market research with the company, please reach out to ravi@simtel.ai
• Those who believe in what we do, join us.

NOTE: Product sales will happen on the website post User Acceptance Testing / Vendor onboarding.

Technology hosted on Azure Microsoft Platform, thanks a ton!

When you start to feel some things are crumbling and more pain points faced by small businesses, people in general, you know, its time for a change. What do we see in the current world?

• Corporate Monopolies and Hegemony, Price wars, Lose-Lose
• Power concentration in the hands of a few, less reliance on collective intelligence
• Inefficiencies due to siloes, bottlenecks

DeFI​

Decentralization - StableCoins​

A classic example of Stablecoin is USDT (Tether), where 1 Tether is close to 1 USD and there are many ways to create the value of the currency including Fiat-backed, Collateral-backed or Algorithmic to keep the value of stablecoin close to its native countries physical currency

Decentralization - Central Bank Digital Currencies (CBDC)​

Central Bank of each country is planning to issue or on pilot to issue CBDCs backed by physical currency of that country. The underlying technology is a blockchain or similar decntralization technology to ensure smooth operability across borders. Digital eRupee is oone such initiative by Rserve Bank oof India to tackle a host of cross-border trading problems

Decentralization - Cryptocurrency​

As most are aware, cryptocurrencies have cyclical boom annd bust periods for valuation of currencies such as Blockchain and Ethereum.

Decentralization - Web Applications (DApps)​

Smart contracts form the heart of Web3 Applications. They are decentralized contracts that get executed on interaction of users or events that lead to changes and triggers in the smart contracts.

DAOs​

Decentralized Autonoomoous Organizzations are sub-systems within the decentralized networks and establish governance/rules in a democratic manner, which is followed by its uers with rigor.

Between Smart Contracts and Crypto​

The combination of cryptos and smart contracts enable decentralized governance systems and Apps that drive the web3. This will eliminate central players, known as disintermediation and ensure equal opportunities for all users to participate in the activities without any FOMOs

"In god we trust; others must bring data" W. Edwards Deming

Image by Gerd Altmann from Pixabay

Indian Real estate market is about to touch One Trillion USD by 2029 [1]. This market is powered by some excellent federal laws including Real Estate Regulation & Development Act (RERA) introduced in 2016 [2], Rent Control Act 1948 [4] supplemented with Model Tenancy Act 2021 [5]. However, the Indian Real estate market is still crippled with legacy systems, lack of governance, incorrect interpretation of laws and archaic practices that are hard to do away. Fraudsters are having a field day and genuine people often misuse these laws unknowlingly for their benefit due to lack of knowledge in the industry.

There are two key segments that can be broken down from the perspective of interaction

1. Construction and Purchase of Real Estate Property (Builders vs buyers)
2. Property Rentals and Lease (landlords vs tenants)

An important area where this is affecting the real estate industry is the residential and commercial rental property business. Both the landlord and tenants are facing significant challenges while renting the property. There is a huge deficit of Trust, Privacy and Transparency prevalent in the property rental market. The side effects are many and causing business loss and mental trauma to both sides of the aisle.

Cyberfraud Scams​

Unless an identity is verified online and in real, there is no real way to state that the person is the same. Most recently prevalent scam is Identity Theft where fraudsters take on an identity of an affluent propsective tenant/landlord and causing monetory loss who are gullible to these scams online. Landlords/Tenants end up following instructions from these scamsters and make digital payments to the scamsters. Especially, the older generation who are not aware of the digital systems fall prey to them more often.

Lack of Trust​

Neither the tenant is aware that the landlord is the true owner of the property and the property is not mortgaged in any way that can cause hindrance to tenants post signing the lease nor the landlord is aware the prospective tenant is genuine. From the landlord perspective, is the prospective tenant the ideal tenant and is genuinely the person who he/she claims to be?. Can they afford to pay the rent and on time, while maintaining the property in a good condition?. Landlord/Tenant recommendations, income proofs, ownership, affordability are some of the trust factors. For each of these scenarios, we need to establish some trust without infringing on the privacy of the individual. Trust comes from capturing data in the system that is inherently privacy-by-design and having contracts that clearly spell out the dos/donts and execute them objectively.

Lack of Transparency​

What is the current state of the rental market in a specific area, how do you carry out genuine research on what rent to offer in the market? How do you become aware of the legalities within the jurisdiction and follow the legal framework to the T? A smart binding contract that ensures all these are met?

Lack of Privacy​

During the interaction of renting out, data will be exchanged between property owners and tenants. Tenant needs to know that the property owner that he/she is dealing with is the real owner of the property to begin with. (Do you know what I mean? Fraudsters have a way there). Property is not under any kind of encumbrance and legally fully owned by the property owner to give out for rent. On the other hand what is important for landlords? Tenant need to be fully vetted before signing any kind of agreement or lease. Some guidelines are here [6]

Cross-Sell vs Advertising​

It is far better to advertise than to cross-sell. Why is that? Advertising is a form of permission-seeking, non-intrusive way to inform your userbase of the options they will have while they browse your platform. This then becomes affliate marketing, more lucrative than Cross-Sell. It is highly relevant, personalized and catering to their direct needs. We can achieve this with omni-channel targeting across multiple devices.

How can we help you power your platform​

Simtel AI can setup a trust and identity framework in a decentralized manner for running Real Estate businesses

• We bring superior customer experience for both landlords and tenants, in turn they will love your platform and you will see significant uptick in your userbase
• Customer base will become repeat customers for the quality you offer
• Remember that you will be eliminating the fear of renting out your property, this is the bulk of your customers painpoint
• We can power your platform with advertising that is state-of-the-art, novel and connected to key publishers

References​

[1] Mordor Intelligence Research & Advisory. (2023, June).
Real Estate Market in India Size & Share Analysis - Growth Trends & Forecasts (2024 - 2029).
Mordor Intelligence. Retrieved January 5, 2024 Source

[2] Real Estate Regulation and Development Act RERA

[3] A Comprehensive guide to Tenant Verification Process in India source

[4] Rent Control Act 1948 source

[5] The Model Tenancy Act, 2021: Resolution of Tenancy Disputes source

[6] A Comprehensive Guide on Tenant Verification Process in India source

Copyrighted Material​

1. Trust​

Trust is indispensible for business. All businesses have to rely on counterparties to carry out a buy/sell operation. Every business transaction involves two or more parties that are well-identified, complex interactions and comes with its own set of rules and regulation. A successful binding contract is one that considers legal aspects of governance, ensures it handles all scenarios and full automated without subjective interpretations

2. Privacy​

Privacy of an entity is clearly an important part of trust, simply becasue of the need to share information that is only relevant to the transaction. Data is the new oil, but when data leaks light up, it destroys the ecosystem and becomes a towering inferno. This is hard to understand for industries that have been setup with legacy systems and central players. THey are getting by everyday barely ensuring privacy and governance laws are met

3. AI Automation​

AI Automation ensures that we

4. Web3 Decentralization​

1. AAA Framework of Identity​

Authentication - To identify an individual on the internet to be truly a digital representation of the physical world that registered prior with the credentials Authorization - Tag and authorize an individual with minimum access to resources, so that a person can perform tasks as assigned by the administrator of the system Accounting - Monitor authenticated user behavior for a single session for compliance and analytical purposes

Lifecycle of an Identity​

A user will pass through some steps during the Identification and Authorized Session

• Identity Provisioning
• Authenication with Username/Password, unique strings, Q&A, Hardware/Software Unique Random Number generation
• Session Management and Authorization
• Reauthentication time-to-time
• Modification/enforcement/reinforcement of Authentication/Authorization Schemes
• Monitoring of being authenticated
• Ending of foormal session
• Deletion of an account

Currently, in Web 2.0, each central player is trying to maintain an individual database central server hosting larger number of users to manage authentication, while outsourcing some or all of authorization to IDP players.

Web3.0 is expected to be more universal across the internet, however the underlying architecture is managed by a decentralized network, not owned by any specific organization.

History of Identification​

To identify an individual in a digital landscape, identity was centralized and stored in a central server in a filesystem. As things evolved, username and password was introduced along with one-way hashing the user credentials along with salting (a technique for uniform random distribution), but still stored in filesystems Cryptography as a computer science subject evolved over time, and asymmetric cryptography in the form of private and public key are being used to login to intranet and internet. Further evolution of digital systems has led to use of One-time passwords through e-mail, phone and other dedicated hardware devices. The OTP had to be truly random in nature to avoid being hacked Since the millenium, Kerberos, OAuth1, OAuth2 and SAML protocols are developed and extended to keep in line with the evolving internet technologies to avoid hacking and identity theft, each of them are serving a different purpose.

OAuth 2.1​

Oauth is an authorization framework modeled as client-server architecture. If a user wants to access the resource owned by the Relying Party(RP), an Identity Provider(IDP) is an intermediary who can grant access to certain user attributes and send them to RP when RP forwards a user authorization to IDP. Oauth2 is the latest attempt too deprecate some RFCs by IETF and highlight some important concerns around security flaws in the OAuth 2.0, which exists since 2012

OIDC 2.0​

Open ID Connect 2.0 is the current popular authentication framework on which most websites are run. OIDC 2.0 sits on top of the OAuth framework and powers the authenciation and authorization across multiple resources, it could be several websites, internal resources of a company or external resources across a network.

Decentralized Identity​

It is expected that in the near future, we will have fully self-sovereign identity on permissioned blockhain network that can authenticate itself and be governed by the security systems setup within the network. The identity can be authenticated with newer ways using Zeo-Knowledge Proofs, for which there are already some implementations such as zk-snarks. It will be universal, self-sovereign and large data breaches are expected to be nullified. The decentralization helps in being authenticated with co-tenants on the network without the use of private or sensitive information. The privacy can be maintained because of lack of data share for authentication or other purposes.

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Welcome to SimtelAI Blogs​

We provide a wealth of information on AI, Identity, Web3, Security that is relevant to digital transformation to the next level.

We aim to solve for a host of issues with Web3 and AI by

• User Centrality - Privacy, Permissioning and Personalization
• Eliminate central players that have bottlenecks to innovation
• Novel ideas to frictionless interactions between two or more parties
• Novel ways to permissioned and consent-driven delivered to users
• Ultimate Customer experience by product design

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