Modules, and the seams between them
Planning is only as good as the transactions underneath it, so we start with the data quality, not the algorithm.
Demand planning
Statistical baseline, promotion and seasonality overlays, and a place for the judgement call to be recorded.
Supply and sourcing
Material requirements, purchase planning, approved vendor lists and multi-source allocation rules.
Supplier collaboration
Purchase order confirmation, shipment notice and schedule sharing, without an email chain.
Sales and operations planning
One monthly number the three functions sign, with the assumptions attached to it.
Included in every planning scope
History cleanse and outlier review Lead time measurement Segmentation and policy rules Safety stock model Forecast accuracy reporting Exception and alert design Planner runbook S&OP meeting pack
The seams we design first
What AI does in planning, specifically
It proposes and explains. A planner still owns the number that goes into the plan.
Demand signal
Forecasts that take in promotions, seasonality and open orders, and show which assumption moved the number.
Lead time learning
Actual supplier performance measured per item and site, replacing the quoted figure in the planning parameters.
Supplier risk flags
Deteriorating confirmation and delivery behaviour surfaced early, with the orders exposed to it listed.
Scenario compare
Two plans side by side with the service, stock and cost consequence of each stated in the same units.
Where a planning scope usually grows next
Enterprise resource planning
Finance, procurement, production and customer records on one ledger.
OMSOrder management
Capture, orchestration and fulfilment routing across sites.
INTEGIntegration layer
Interfaces with retries, logs and a named owner for failures.
ERP implementation checklist
Thirty-one decisions that determine whether a rollout lands, most of which come before anyone configures anything. Readable in full, no email required.
