Recommendation engines
Behavioural and content-based recommenders trained on your own order history, served with sub-50ms latency at the product and cart level.
All services
AI-First Product Development
AI Solutions for eCommerce
E-commerce AI only counts if it shows up in two numbers: conversion rate and return rate. Everything we build for retail is measured against those.
28%
Return-rate reduction achieved
<50ms
Recommendation serving latency
3-6 wks
Typical time to first uplift
What This Includes
Capabilities you get, spelled out
No line item here is aspirational — each one is something we have shipped on a platform that is live today.
Fit and sizing models
Size-recommendation engines built from returns data and product measurements — the single highest-leverage return-rate lever in apparel.
Semantic search
Natural-language catalogue search that understands "something warm for a two year old" instead of matching keywords against product titles.
Intent-based merchandising
Live session scoring that changes what a visitor sees based on where they actually are in the buying decision.
Support deflection
Order-aware assistants wired into your OMS, resolving "where is my order" and returns initiation without a human touch.
Demand forecasting
SKU-level forecasting that feeds purchasing, so stockouts on your best sellers stop being a monthly surprise.
The Stack
What we deliver it on
Python end to end wherever it earns its place — one language across API, data pipeline and model layer keeps the team small and the feedback loop short. Everything here is a deliberate choice we can defend, not a default.
- Python
- FastAPI
- scikit-learn
- PyTorch
- OpenSearch
- Redis
- Shopify / WooCommerce APIs
01
Discovery
Opportunity map with effort-vs-impact scoring
02
Clarity
Signed-off build plan and prototype
03
Execution
Production platform, documented and owned by you
Proof
Where we have done this before
The closest matches in our portfolio by stack and problem shape.
Google Play
App Store
Social Networking & Matchmaking
Jaumo — Next-Gen Dating Application
Compatibility matching over surface-level swiping
- Python
- FastAPI
- PostgreSQL
- Redis
Google Play
Live on the web
On-Demand Transportation & Mobility
Tada Taxi App
AI dispatch that cut rider wait times by 40%
- Python
- FastAPI
- PostgreSQL + PostGIS
- Redis
AI-First Product Development
Other services in this group
AI-Native Product Development
Greenfield platforms designed around an agentic core, where the model is the primary interface rather than a bolted-on assistant.
- Python
- FastAPI
- LangGraph
AI Enablement for Existing Products
Add intelligence to the platform you already run, without a rewrite and without destabilising the revenue it carries.
- Python
- FastAPI
- Feature flags
Start Your Project
Tell us what you need built.
Describe the workflow and we will come back with scope, stack and a realistic timeline in writing — within two working days.