DATA & READINESS

A practical input foundation—not a black box.

Start with the evidence that can be supported reliably. Make gaps explicit, preserve traceability and expand only when the data is ready.

EDITION 1 INPUT FOUNDATION

Six transparent input domains.

01

Commerce sales

Retailer × City × SKU performance at an agreed data period.

02

Campaign performance

Spend, clicks and agreed commercial outcomes.

03

Asset & keyword

Approved taxonomy, selection rules and performance history.

04

SKU master

Brand, pack, portfolio hierarchy and availability context.

05

Calendar

Year-round events/PAY-BAU, WE/WD and daypart definitions.

06

Potential, budget & rules

Agreed potential inputs, budget envelope, caps, exclusions and controls.

CONNECTED DATA FOUNDATION
1Standardise
2Validate
3Apply logic
4Trace output
VISIBLE OUTPUT

Data period • Source • Logic • Decision

EDITION 2 ADDITIONAL CONDITIONS

Predictive ambition needs stronger evidence.

  1. Representative campaign history across eligible combinations.
  2. Consistent scoring grain and stable master mapping.
  3. Agreed Incremental Sales outcome definition.
  4. Approved control-group or counterfactual baseline.
  5. Immutable data, scoring and model-version snapshots.
ROADMAP BOUNDARYWithout a validated baseline, Incremental Sales remains a roadmap prediction—not a production claim.

The readiness discussion identifies what can credibly be configured now, piloted next and deferred until the evidence matures.

Start a readiness discussion →