Showcase/Dynamic pricing for retail

Dynamic pricing for retail

Dynamic pricing for retail: price change alerts with their rules-check status and approval, the business rules a proposed price is checked against with competitor, margin, stable-price and regulation figures, approve or set a new price, scheduled updates within budget, and AI scenarios that explore the effect of a price on competitors, existing customers and margin.

MockupDynamic Pricing DashboardInteractive mockup on simulated data. Click anything.Open full screen
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Scope2 days

One working session with the people in the seat: which decisions, which systems, what a good week looks like.

Working demo on your data5 days

The app you see above, running on your own exports instead of the simulated world. Every screen, every decision, your numbers.

Production14 days

Wired to your systems with your permissions, agents proposing, people approving, the ledger recording who did what.

Overview

Competitor prices move daily and the retailer's respond weekly, after a spreadsheet and an approval chain. Rules about margin floors, price stability and regulation are applied inconsistently because they live in people's heads.

The dashboard keeps prices, rules and the ERP in sync. Each proposed change shows which rules it passes and which it breaks, with the figures behind them, and the manager approves it, sets another price or asks the AI to explore scenarios for competitors, existing customers and margin. Approved changes are scheduled within the budget and logged for compliance.

Key features

  • Seamless data foundation: ERP integration keeps the pricing ontology and rules current.
  • Customizable dynamic pricing: bespoke strategies that respond to demand, competitor changes and seasonality, including proactive rules.
  • Strategic pricing execution: every decision linked to margin, volume or inventory objectives.
  • Holistic pricing management: rule compliance, profit impact, experiments, approvals, scheduled updates and regulation adherence.

Decisions it produces

  • Approve a proposed price change
  • Set a different price
  • Explore a pricing scenario with AI
  • Schedule the change within budget

Data sources

ERPcost, stock, price lists
POSsales by store and product
Competitor feedsprices and promotions
Rulesmargin floors, stability windows, regulations

Simulated data throughout. Book a call to see it on your own systems.

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