We need your e-commerce product catalogue data for us to power the natural language search on your e-commerce store. The product feed can exist in JSON, XML or CSV.
{ "product": { "url": { "url": "product url", "searchable": "no" }, "pid": { "pid": "product id", "searchable": "no" }, "base": { "title": "title", "brand": "product brand", "model": "item model", "category": "product category", "category path": "maincat>subcat>subsubcat...", "currency": "INR", "popularity": "value between 0 to 1" }, "<'field name'>": { "type": "string/number/double", "value": "valueOfField", "searchable": "no" (optional) } } }
The full feed needs to be provided the first time post which there needs to be a daily update frequency to update newly added products/remove stale products etc., Also, a higher frequency update can be done generally for updating price/stock depending on how frequently it is updated in the store. The mechanism of sharing the feed is via a standard REST API.
“searchable = yes” need to be applied for the attributes in the feed which needs to be allowed to be part of your Natural language search query. For eg, for a category mobile, internal memory or RAM fields need to be marked searchable=yes to allow users to search for mobiles using memory and ram.
Popularity in the feed for each product refers to the rank of the product within a given sub- category. It could be based on number of page views etc. a product gets. It is often a value between 0 to 1.
If you don't maintain a product popularity or rank, you could give us certain specific signals we ask for, for each product and we will calculate the same.
A trial is a mechanism through which you can share us a sample product feed and explore our service for 2 weeks for free before you can start using our service for your search capabilities.
If you want to explore our product trial beyond 2 weeks, we allow a paid trial which is lesser than the actual service cost for a few more weeks.
For a product trial, you can give us a sample feed in the prescribed format (preferably) or any format over a REST API (web URL).
The integration for trial or actual service can take anywhere between 1-3 weeks depending on the size of the product feed.
We offer our product capabilities through a SaaS model via REST APIs and give you a result set in a Json format for each query which can be consumed to mobile app or website or any interface.
We have auto-suggest templates you can choose from and can be integrated along with the search service after you provide the product feed. Normally auto-suggest is not available during free trials.
If you have different feeds for different markets, you can provide it as different indexes for us in the product feed and we generally treat is as a different store and different index as the query set and metrics etc are all different for different markets. Please talk to our support during integration.
For any channel, it is a single simple Rest based search API which can be consumed and integrated to give a seamless experience across channels.
The capability to search digitally the same way you ask a human or explain your product discovery requirements to a human.
It is the natural way end-users are used to explaining their buying requirements in the real world and makes it easy and fast for users to discover whatever they want and not be limited and curtailed by Keyword matching Search technologies
We have filed 6 patents for various machine learning and natural language understanding algorithms within our Search. DeepSeek learns from the seller/dealer inventory and from user search patterns to give the most intelligent machine learning based search pluggable into your website/app.
Our Search is mobile website, mobile app, desktop web and kiosk optimized. The interface being plugged in doesnt matter given our API blends in naturally irrespective of the interface being plugged into or the domain being applied to.
With SeekNShop.IO Search Configuration Panel, you get various Merchandizing capabilities listed as below:
All the reporting and Dashboards are customizable and our standard analytics include the following