Demand planning across channels
Store and online demand are difficult to compare when returns, promotions, and stockouts distort sales history.
The challenge behind the workflow.
Store and online demand are difficult to compare when returns, promotions, and stockouts distort sales history.
Connect demand, inventory, orders, fulfillment, and customer permissions. Give merchandising and operations teams a common view of what changed, where the data is incomplete, and which action needs review.
Data to bring together
- Sales transactions
- Promotion calendars
- Inventory availability
Source systems are examples of the data required. Confirm connector availability, permitted access, refresh timing, and the authoritative owner before implementation.
How Genedata supports the work.
Configure one connected workflow, then reuse its mappings, definitions, and review process as the business grows.
- 01
Connect and prepare
Align product and location references while separating sales, returns, and unavailable periods.
Build the preparation as a reusable visual workflow or reviewed code, with explicit source mappings and validation checks. - 02
Investigate and validate
Build comparable demand histories and evaluate planning scenarios by channel.
Keep shared definitions and source versions with the analysis so another team can reproduce the result. - 03
Publish and review
Publish an agreed planning dataset with assumptions and exceptions.
Make the output available to the right people with appropriate access, ownership, and review evidence.
A channel demand planning dataset
Make the next run easier.
Reusable demand preparation reduces spreadsheet assembly before each forecast cycle.
Start from one approved example. Save the agreed mappings and definitions, publish the reviewed output, and let the next team follow the same evidence instead of rebuilding the preparation.
Measure your own improvement
Forecast preparation time and missing-history exceptions
Record a baseline before the pilot and compare like-for-like work afterward. Results depend on source quality, configuration, and adoption.Review and responsibility
Planners validate assumptions and distinguish observed demand from constrained sales.
AI with professional judgment.
Use AI to explain anomalies and draft planning commentary. Merchandising, pricing, customer outreach, and stock decisions stay with authorized teams.
Try the workflow with your team.
Use representative, approved sample data. Agree the expected output and a review owner before extending the workflow to a live process.