SAI / 01Demand planning for industrial distribution
Plan long-tail inventory without spreadsheet sprawl.
Industrial distributors manage thousands of irregular SKUs, supplier constraints, branches, and service-critical items. SOBERAN turns that operating complexity into a controlled replenishment cycle.

80warehouses
50.000+SKU
3M+inventory records
Operating scale documented at Sumatec
02 / The distribution reality
Not every SKU behaves like a high-volume retail item.
MRO, tools, electrical materials, safety equipment, and industrial supplies create a wide catalog with uneven demand and strict availability expectations. The planning system needs to handle the quiet SKUs, the packaging rules, and the warehouse context—not average them away.
03 / Operating flow
Built around the planner’s actual inputs
- 01
Preserve product context
Bring product line, source type, supplier, MOQ, pack multiple, and catalog attributes into the planning record.
- 02
Separate signal from noise
Evaluate average daily demand and exclude records with no demand signal from the active recommendation queue.
- 03
Apply supply constraints
Adjust the calculated need to lead time, replenishment frequency, minimum order quantities, and packaging multiples.
- 04
Keep planners in control
Let the team approve, edit, and trace every recommendation before the ERP creates operational documents.
04 / Decision logic
Planning inputs that survive contact with operations
The recommendation should carry the constraints the supplier and warehouse will enforce.
05 / Evidence
Designed with an industrial distributor, not a demo dataset
Sumatec distributes tools, hardware, MRO products, safety equipment, electrical materials, and industrial supplies. Its SOBERAN workflow evaluates 50,000+ SKUs using real supplier, product, warehouse, demand, and purchasing constraints.
Read SOBERAN + Sumatec07 / FAQ
Questions for evaluating fit.
Why is industrial distribution demand planning different?
Industrial catalogs often combine long-tail demand, service-critical products, multiple branches, supplier minimums, pack rules, and uneven lead times. Those constraints must remain visible in each replenishment decision.
Can the system handle slow-moving products?
Yes. The workflow can separate products with an active demand signal from records that need exclusion or manual review, instead of forcing every SKU through the same automated rule.
Which source systems can feed the model?
The Sumatec case combines ERP data, PIM product context, warehouse metadata, demand history, stock, pending orders, in-transit inventory, and replenishment parameters.