Natural Language Search

Search that understands Natural Language and User query based Unstructured Semantics to provide more than 98% relevance

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Fast and Responsive Search

Provides more than 20% assured conversion for specific queries within 50ms response time

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Seeker - Your AI SalesMan

An AI based Cognitive Agent for e-commerce that can behave exactly like a salesman in a retail store providing human like interactive responses using chat/voice interfaces, guided search, context based recommendations, dynamic discounting and respond to support questions

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Natural Language Search

Now enable your multi channel commerce with a search that addresses all complex user query types with great accuracy

Understands User Language and Intent

Users never query in predicted patterns and e-commerce inventory can never match the same. Hence search needs to understand user intent and has to be "e-commerce user intent aware". SeeknShop.IO's Natural Language Search understands the language of the users which means we know what your users are looking for even when they use natural language or long tail queries.

Fast and Relevant

SeekNShop.IO's Natural Language Search understands user's intent and translates it into the context of the inventory. For eg., it would understand a brand or series or model or product specs and show the exact products that match the context within micro-seconds leading to high relevance and speed.

Seamless Facets

SeekNShop.IO's Natural Language Search understands the unstructured user queries and auto-generates the relevant query facets apart from providing the classic faceted search. With SeekNShop.IO, merchandisers can configure facets and filters seamlessly.

Personalized & Self Learning Search

SeekNShop.IO's Natural Language Search can learn leveraging Machine Learning and adjust search result ranking, improve relevance and find synonyms through which the results can be fine tuned along with personalizing for each individual user query separately.

Intelligent Auto Complete

SeekNShop.IO provides intelligent auto suggest and auto complete which makes searching effortless for your users. A rich, dynamic auto complete with product suggestions helps minimize effort and errors. Our Auto Suggest also provides Search History of each individual user based on the integration with seller.

Search Merchandising

With our self-serviceable customer support, customers can configure customized Search result ranking, merchandising, URL redirects for merchandising pages for few specific queries, noise, synonym configuration and even precision configuration of search results

About us

We are a team of Machine Learning, Artificial Intelligence enthusiasts with extensive experience in e-commerce determined to solve the problem of product discovery and decision making in e-commerce and other domains

Our Mission

Our mission is to facilitate a digital shopping experience that feels a lot like the very best in-store shopping experience i.e., conversational and free-text. Discovery and Decision Making is a common problem for all e-commerce shoppers. Though discovery of products from a plethora of inventory has been simplified with online platforms,it could be made more natural and seamless. We believe with the power of natural language understanding and artificial intelligence, the problem of discovery and decision making (recommendations) can be solved very different from current mechanisms.

Why Us?


Specific Search Queries are generally 12X more converting than generic queries in the context of e-commerce searches. With the current e-commerce search technology, the more specific a user queries, the worse the relevance is. This leads to sellers losing out on high converting shoppers.
With SeekNShop.IO Patent Pending Natural Language Search, you can get an assured conversion increase of more than 20% for specific queries with >98% relevance within 50ms response time so that you never need to lose out on your high converting users. In addition to this the search has Self-Learning capabilities, Options to Personalize Search and Customize Search ranking and configure Merchandizing aspects related to Search.


What makes a retail in-store experience excellent for a shopper?
The answer multi-folded - Personal Attention and Personalized experience, A Salesman who helps with Guided product discovery addressing any complex user query intelligently, who provides Contextual Recommendations when the user is confused or has potential to cross-sell to him, learns from his customers constantly on product buying requirements and opinions, Answers any Support related questions and has the capability to decide on a real-time discount / promotion based on user's propensity to buy.
This experience cannot be replicated in omni-channel commerce easily because of the challenges in SCALE scaling to millions of products and product information, COST involved in addressing a million users with human agents and COMPLEXITY involved in training these human agents with information.
We aim to leverage chat/voice interfaces, Patent pending algorithms in Deep Learning Techniques like Reinforcement learning, Recurring Neural Networks (AI) and Natural Language Understanding to bring the best in-store experience online through our AI Salesman SEEKER - Cognitive Agent for e-commerce which would be cost-effective, can scale to millions of SKUs and users and constantly learns from conversations.


We are a group of Machine Learning and AI enthusiasts with more than a decade of experience in Data Science and Machine Learning working with companies like Microsoft, Amazon, CA etc., and with extensive e-commerce experience working previously with Amazon, Marks and Spencer, Lacoste, Tesco, Argos, etc., The problem space we are addressing had been a problem for several e-commerce companies and we aim to solve it through our experience and innovative technology

Our Services

Cognitive Agents

Natural Language Search

Detailed Analytics & reporting

Cart Conversion Strategies


User tracking & Insights

Our Team

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Founder and CEO

Mr Cool guy with 11 years of extensive Product Management, Technology and Machine Learning experience having worked with Microsoft Bing Search, Amazon (Webstore,Search, Data Science, Promotions, Supply Chain, E-Commerce), CA (SaaS, Enterprise), MySmartPrice (Search & Data Science).

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M S K Aditya


Technology nerd with 11 years of experience with Microsoft and several other startups in the role of CTO with skillset ranging from building scalable systems and platforms, Machine Learning algorithms and Enterprise SaaS products.

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Sai Anirudh M

Head of Sales, NA, LATAM, ME

A business driven technocrat who specializes in customer interfacing, building partnerships and client engagements coupled with Data Warehousing & Mining, Cloud Computing and building scalable cloud based systems. He has 10 years of Consulting experience in the US with Microsoft, Apple, Google, Amazon etc.

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Development Team

Our Development team comes with an average of 8 years experience and have worked with Amazon, Microsoft, Oracle previously and are from premier institutes. They have expertise in Data Science, Various Programming Languages, Development Frameworks and Technologies.

Customers :

Our customers are spread across the world (US, UK, IN, UAE, APAC, MENA) owing to our partner network and platforms and range from enterprise to SME with an inclination to improve their omni-channel (e-commerce and mobile) conversions,provide world class customer experience, bring the true personal user attention of the in-store world to digital shopping and take their e-commerce discovery and decision making to the next level.

Partners :

  • Magento
  • Shopify