AI for Retail & Ecommerce
Competitor analysis, demand sensing, and merchandising intelligence - AI for the retail floor and the boardroom.
The problems we take on, and how we build for them.
- 01
Tracking competitor pricing, assortment, positioning at scale
Agentic AI - 02
Forecasting demand across SKUs, regions, channels
PowerBI, Fabric & Analytics - 03
Turning customer behavior signals into merchandising calls
Data Warehousing & Pipelines
Teams we built it with.
AI competitor-intelligence product
A GenAI system that monitors competitor pricing, assortment, and positioning - multi-source data into merchandising decisions.
Read the case study
Retail commerce systems
Commerce systems and merchandising intelligence for home furnishings retail.
BIBA's merchandising team needed a live read on how competitors were pricing and positioning across a fast-moving market - but the data was scattered across channels and impossible to track by hand at the cadence the business moved.
Read the full case studyHow we built it
- 01
Map the signals
Identified the competitor sources, channels, and attributes that actually drive merchandising decisions.
- 02
Build the ingestion + synthesis layer
Multi-source ingestion feeding a generative-AI layer that synthesizes pricing, assortment, and positioning into structured intelligence.
- 03
Deliver decisions, not dashboards
Surfaced the output as merchandising-ready intelligence the team could act on, not another raw data feed.
Other industries
Let's build what's next - together.
Whether you have a brief or just an idea, we'll help you scope a path from concept to production - with compliance built in.