Recommendations
Personalised “you may also like” and next-best-product suggestions from browsing and purchase history.
E-commerce & Retail
AI and software for e-commerce and retail
Help shoppers find the right product — and have it in stock.
Online stores and retail chains already hold years of behaviour, search and sales data. We turn it into better search, more relevant recommendations and forecasts that keep the right stock in the right place.
Built for stores that want to sell smarter, not louder.
In e-commerce, small improvements compound: a search that understands “warm winter jacket for kids”, a recommendation that fits what someone just bought, a forecast that avoids an empty shelf. Each one is a model trained on data you already collect.
We start with the metric you care about — conversion, basket size, stock-outs or content cost — build the simplest model that moves it, and test it against your current setup before rolling it out to every customer.
E-commerce & Retail
What we build
Search that understands intent
Semantic search that finds the right products for natural-language queries and typos, in several languages.
Demand forecasting
Forecasts per product and store that feed purchasing and replenishment.
Product content generation
Drafting product descriptions, translations and attributes at scale, reviewed before publishing.
Shopping assistants
Chat assistants that ask the right questions and recommend suitable products, on the site or in messengers.
Customer analytics
Segmentation, churn signals and review analysis that show what to improve next.
Who we work with
Online stores
Search, recommendations and content at scale.
Marketplaces
Matching buyers with the right sellers and products.
Retail chains
Store-level forecasting and stock planning.
Consumer brands
Product content, reviews and direct-to-consumer apps.
Why MLMind
Why teams choose us
01Metric first
Every model is tied to a business number and tested against your current setup before a full rollout.
02Multilingual by default
Search and content that work in Georgian, English, Russian and other languages your customers use.
03Fits your platform
Integrations with Shopify, WooCommerce, Magento or a custom store through APIs, without replatforming.
04You own the models
Code, models and data pipelines are handed over, with no lock-in to a recommendation vendor.
What changes for you
- 01More relevant resultsShoppers find what they meant, not only what they typed.
- 02Bigger basketsRecommendations that fit the customer and the moment.
- 03Fewer stock-outsPurchasing guided by forecasts instead of last year’s numbers.
- 04Content at scaleProduct pages drafted in minutes and reviewed by your team.
Frequently asked questions
How much data do we need for recommendations?
A few months of browsing and purchase history is usually enough to beat simple “bestsellers” lists. We check your data first and say plainly if it is not enough yet.
Will it work with our e-commerce platform?
Yes. We integrate through your platform’s APIs — Shopify, WooCommerce, Magento or a custom store — so there is no need to replatform.
How do we know it actually works?
We run it as an A/B test against your current setup on a share of traffic and compare conversion, basket size or the metric agreed at the start before rolling it out fully.
Next step
Tell us what you want to build.
A free 30-minute consultation with an engineer — no obligation, reply within one business day.
Contact us