AI for your team / Trading & Merchandising

Put stock where it sells.
Protect the margin.

Connect customer demand, stock and commercial decisions. Help your trading team act earlier on availability, pricing and the products that earn their place.

Illustrative retail colleague checking clothing stock with a tablet
AI-generated illustrative image.

AI for the work that matters

Better availability.
Sharper commercial decisions.

Have the right stock in the right place.

Use sales patterns, seasonal demand and relevant local signals to support forecasts, replenishment and allocation decisions. Bring likely stock gaps and overstocks to the team’s attention.

The business value

Fewer missed sales, better availability and less cash tied up in stock that is not moving.

Make prices and promotions earn their place.

Explore price response, promotion performance and margin scenarios. Compare options using agreed commercial rules before your traders decide what to change.

The business value

Better-informed pricing and promotion decisions, with a clearer view of sales, margin and stock effects.

Move slow stock. Make room for what sells.

Identify ageing products, compare markdown options and review assortment performance across locations or channels. Help teams spot where range changes deserve a closer look.

The business value

Improved sell-through, less markdown waste and a product mix that better reflects customer demand.

Get to the trading decision sooner.

Ask plain-English questions of trusted sales, margin and stock information. Prepare trading and promotion reviews using consistent definitions, with the team checking the findings.

The business value

Less report preparation and more time to understand the numbers and agree the next action.

Published research

Pricing.
Promotions.
Assortment.
Commercial priorities highlighted by retail research

Bring intelligence into the trading decision.

McKinsey and EuroCommerce’s 2026 retail research identifies pricing, promotions and assortment optimisation as major commercial opportunities. It also describes analytical AI as a foundation for demand forecasting and pricing decisions.

McKinsey & EuroCommerce · Rewiring retail in Europe, June 2026

Related work / MVP and proof of value

Another way into your retail information.

Our conversational retail data work demonstrated how business users could ask questions of their information.

Explore the conversational retail data story

A useful first step

Start with one trading question that needs a better answer.

Make one sales or stock question easier to answer, then build towards decisions about replenishment, promotion or markdowns. Match the next step to your commercial priorities, data and existing planning tools.

See what changes.

Track availability, stock turn, forecast accuracy, sell-through, markdown spend and gross margin alongside the time needed to make trading decisions.

Talk about AI for your team

Make it happen

The right help around your team.

Talk to Ignite

What would you like AI to change?

In 30 minutes, we’ll talk through what you want to change, the systems you use and where you need help. If there is a fit, we’ll agree the next conversation.

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