Sound familiar?

  • Stock in the wrong place: too much in some stores, empty shelves in others.
  • No clear view of whether promotions actually make money.
  • Online and in-store data that never quite line up.
  • Margins eroding without a clear reason why.

What you'll get

  • One view of sales, stock and margin across every channel.
  • Demand forecasts that improve buying and replenishment.
  • Promotion analysis that shows real incremental profit.
  • Store and category performance insight at your fingertips.

Retail Use Cases

Examples of the challenges we help retailers solve with data and AI.

Merchandise

Demand forecasting for stock planning

The challenge
Buyers order on instinct, leading to overstocks, markdowns and lost sales.
What we build
Forecasts by store and category using sales history, promotions, seasonality and public holidays, delivered into planning reports.
The outcome
Better stock levels, fewer markdowns and fewer empty shelves.
  • Predictive analytics
  • Microsoft Fabric
  • Power BI
Marketing

Promotion effectiveness

The challenge
Promotions lift sales, but nobody knows whether they add profit or just pull sales forward.
What we build
Promotion analysis comparing uplift, cannibalisation and margin against a baseline for every campaign.
The outcome
A promotion calendar built on what actually works.
  • Analytics
  • Data modelling
  • Power BI
Customer

A single view of the customer

The challenge
Online, in-store and loyalty data sit in separate systems, so customers are treated differently in each channel.
What we build
An integrated customer model linking transactions across channels, with segments for marketing and service.
The outcome
More relevant marketing and a consistent experience in every channel.
  • Data integration
  • Customer segmentation
  • Microsoft Fabric
Operations

Store performance and labour

The challenge
Store managers get reports weeks late, without the context to act on them.
What we build
Store scorecards for sales, conversion, labour and margin against targets, refreshed daily and designed for mobile.
The outcome
Managers who act on today's numbers, not last month's.
  • Power BI
  • Mobile layouts
  • Row-level security

See a retail dashboard in action

Explore our live retail sales dashboard, built on realistic sample data for 40 stores and online.

Frequently Asked Questions

Yes. Bringing POS, ecommerce, loyalty and ERP data into one model is one of the most common things we do for retailers.

It depends on your data, but forecasts that include promotions, seasonality and holidays usually beat manual planning. We measure accuracy and improve it over time.

Often with a single view of sales and margin across channels. It's quick to deliver and makes every later project easier.

Speak to Us About Retail

Tell us what you're working on. We'll share practical ideas for using data and AI in retail, with no obligation.

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