PRISM Pricing and promotion analytics

Know what a price change will do before it reaches the shelf.

PRISM is pricing and promotion analytics for retailers. It works out how your customers respond to price, measures what each promotion really earned and lets your commercial team test options side by side before they commit.

Used by a major retailer, where it supported a 2–4% gross-margin uplift.

Scenario view. Illustrative figures, not client data.

Built for
Retail pricing, trading and category teams
Result
2–4% gross-margin uplift
Runs on
Your own sales, price and promotion history
Delivered as
Software plus NexAura analysts

The problem

A promotion that sells more is not always a promotion that earns more.

Sales go up during an offer, so the offer looks like a success. The harder questions are where those sales came from and what they cost.

  • Effects overlap

    A price cut changes demand, changes how shoppers react to offers and moves sales between products, all at once.

  • Offers wear out

    Run the same promotion often enough and shoppers wait for it. The uplift shrinks and the margin does not come back.

  • Decisions are made on instinct

    Without a way to test options, pricing meetings fall back on precedent and opinion.

What PRISM measures

The effects that decide whether a promotion paid off.

Each one matters on its own. The value comes from seeing them in the same view, for the same decision.

  • Price elasticity

    How much demand for a product moves when its price does.

  • Volume uplift

    The extra units a promotion sold, compared with what would have sold anyway.

  • Promotion fatigue

    How the response to an offer weakens when it is repeated.

  • Cannibalisation

    Sales a promoted product took from other products on your own shelves.

What-if scenarios

Put two options side by side and see which one earns more.

Your team sets up alternatives, such as a deep short promotion against a smaller permanent price cut, and PRISM estimates the effect of each on volume and margin.

  • Built for commercial teams. Pricing and category managers use the dashboard themselves.
  • Margin as well as volume. Every scenario shows what it does to profit.
  • Decision support. PRISM shows the likely outcome. Your team makes the call.

Scenario view. Illustrative figures, not client data.

How it works

What you give us, and what you get back.

PRISM is delivered with our analysts. You do not need a data science team of your own.

  1. We take in your data

    Sales by product and week, prices and your promotion calendar.

  2. We check it with you

    Early on, we show you what the data can and cannot support, before any modelling is relied on.

  3. Models are fitted

    Machine-learning models estimate each effect for your products and categories.

  4. Your team tests scenarios

    Options are compared in the dashboard and reviewed with our analysts.

2–4%gross-margin uplift

What it delivered for a major retailer.

PRISM gave the retailer's pricing and merchandising teams a clear view of which price changes and promotions were paying for themselves. The decisions it supported delivered a 2–4% improvement in gross margin.

Read the PRISM case study

Questions we get asked

What commercial teams usually ask before a demo. Ask us directly.

What is PRISM?

PRISM is pricing and promotion analytics software for retailers. It estimates how demand responds to price, measures the real effect of promotions and lets commercial teams compare what-if scenarios before changing a price or running an offer.

What data does PRISM need?

Sales history by product and week, the prices charged and a record of past promotions. Product hierarchy and cost data improve the results.

Does PRISM set prices automatically?

No. PRISM is a decision-support tool. It shows your pricing and trading teams the likely effect of each option, and they make the decision.

What results has PRISM delivered?

PRISM supported pricing and promotion decisions that delivered a 2 to 4% improvement in gross margin for a major retailer.

Do we need our own data science team?

No. PRISM is delivered with NexAura's analysts, who prepare your data, run the models and work through the results with your commercial team.

Bring a pricing question. We will show you how PRISM answers it.

A demo takes about 30 minutes. We walk through a scenario comparison and talk about your categories, your data and what a first project would cover.

  • For commercial directors, pricing managers and category teams
  • Suited to grocery, convenience, pharmacy and consumer brands
  • Need analytics for a different question? See our BI services