Data and AI for retail, ecommerce and consumer goods

Demand, stock, price and customer.
The four retail decisions, in real time.

We’ve spent years putting data to work in retail and consumer goods. We connect store, eCommerce and customer into one single view so you can decide fast on demand, stock and price, without losing margin along the way.

Solutions by area

Sell more, spend less, build more loyalty. Area by area.

Demand Forecasting

Forecasts by SKU, store and channel that actually hold up

We bring sales history, sell-out, seasonality, promotions and external variables into ML models that forecast by SKU, store and week. They retrain themselves every week, so the forecast never lags behind what's happening on the shelf.

Multichannel inventory management

Optimal stock by location, replenishment that decides itself

We unify store, warehouse and eCommerce inventory in real time. Prescriptive models calculate optimal coverage and trigger replenishment from the forecast, not from fixed thresholds. Fewer stockouts, less idle stock and less shrinkage per SKU.

Dynamic Pricing and promotions

Protect your margin without giving up on competing, or on the account

A pricing engine that combines demand, competitor prices, inventory and real elasticity by category. It measures the uplift of every promotion and simulates price and margin by customer and by retail chain. Price stops being set by instinct.

Unified Data Platform

All your systems speaking the same language

We integrate ERP, WMS, POS, eCommerce and CRM into a governed data lake, with data quality and lineage from the source. The foundation that forecasting, pricing, customer analytics and every AI model run on.

Customer and omnichannel personalization

Know every customer as if they were the only one

A 360 profile built from POS, eCommerce, app and loyalty data. Propensity, churn and Next Best Offer models that move conversion and retention. The same shopper in store and online, finally on a single record.

Automated Marketing and CRM

Campaigns that land because they speak to each segment

Customer segmentation with ML and campaign personalization built into your marketing platform. You automate delivery, tune the message to real behavior and stop firing the same promotion at your entire base.

Sales and assortment analytics

You know what sells, where, and at what real margin

A dashboard for sales, margin, average basket and turnover by customer, category and store. You spot the assortment you don't need, the one you're missing and the real profitability of every SKU, not the one intuition claims.

Returns and reverse logistics

Turn returns into recovered margin

Models that detect patterns by product, channel and customer, classify every return and route it to whichever destination recovers most: back to stock, outlet or donation. The hidden cost of eCommerce, finally measured and under control.

Projects in production

Real projects already delivering results in retail

Different challenges, one same pattern: data that decides and results that get measured.
Retail
A retail company queries its data using natural language from Teams, without writing a single line of SQL.
Retail
How an optical retail chain centralized network data and applied ML to predict store demand and optimize stock and assortment.

Data that decides, results that get measured.
Let's start with yours.

Tell us where the challenge is and we’ll see what can be solved with the data you already have.