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Okko Oulasvirta
Retail & Commerce

Pricing & Promotion Planner

Plan a price move or a promotion with its likely effect on volume, margin and related lines shown before it goes live.

The decision it supports

What will this price or promotion actually do to volume and margin, and is it worth it?

What changes

Fewer margin-destroying promotions, quicker reaction to competitor moves, and a record of what each decision was expected to do against what it did.

Data domains

  • Products and range
  • Pricing and promotions
  • Orders and fulfilment
  • Inventory and availability
  • Finance and margin
  • Customers and loyalty

Interactive preview

Pricing & Promotion Planner is described here as an opportunity rather than shown as a working demonstration. The interactive build for this industry is Inventory Exception Manager — it uses the same primitives, the same governed data model and the same decision-to-action pattern this application would.

We build one flagship per industry properly rather than four shallow ones. The pattern transfers.

The workflow

  1. 01A pricing gap or promotion idea is raised for a category
  2. 02Recent sales, elasticity and competitor prices are assembled
  3. 03The expected effect on volume, margin and related lines is estimated
  4. 04Options are compared side by side with their trade-offs
  5. 05The merchant selects a price or promotion plan
  6. 06The change is written to the pricing and promotions system
  7. 07Actual outcome is compared against the estimate

Platform capabilities most relevant here

  • OneLake

    One governed copy of enterprise data that analytics, AI and applications can all build on.

  • Curated business entities

    Agree once what an order, an asset or a customer means — then reuse it everywhere.

  • Data science and ML

    Predict what is likely to happen next so people can act before it does.

  • AI functions

    Apply language models to business data as a normal part of a data pipeline.

  • Fabric Apps

    Build the application where the governed data already lives, instead of copying it out.

  • Application state

    Remember decisions, assignments and approvals — the things a report cannot hold.

  • Enterprise APIs

    Turn a decision into a change in the system that actually runs the process.

Not every application needs every capability. This is the subset that this decision actually depends on.

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