01
Sense
Read the physical world
- Store, online and supply chain data
- Customer interactions across channels
- Stock positions across the network
Enterprise
Retail & E-commerce
Know what will sell, where, and to whom.
Demand forecasting, assortment analytics, segmentation and customer 360 for retail and CPG.
Illustrative scene, not a customer site
What’s at stake
Where it hurts.
- 01
Demand keeps shifting.
Forecasts built on last season’s data miss what customers want now.
- 02
Customer data is split.
Online, store and loyalty data rarely form one picture of the customer.
- 03
Margin depends on detail.
Price, assortment and space decisions need analysis store by store.
How it fits together
From the sensor to the decision.
02
Understand
Turn it into a live picture
- Machine learning master data models
- Segmentation, propensity and churn
- Product affinity and brand performance causality
03
Act
Warn or fix before failure
- Demand forecasting
- Assortment, space and store clustering
- Price elasticity and media mix decisions
Where to begin
What we work on.
- DemandDemand forecasting and supply chain early warning.
- Range and spaceAssortment and space, store clustering and product affinity.
- PricingSparse data price elasticity and media mix modelling.
- CustomersCustomer 360, segmentation, propensity, churn and share of wallet.
Products for this sector
Ask your retail data a harder question.
Tell us what you’d like to know, and we’ll show you what your data can already answer.