Distributor ERP
Agreed sales documents, warehouse inventory and master data.
Channel visibility · sell-out and inventory
See what distributors sell to outlets and where stock builds up.
For manufacturers and distribution leaders. Compare shipments, secondary sales and inventory using partner data. Detail and update frequency depend on the source.
Discuss secondary salesThe manufacturer supplies the distributor.
The distributor sells to an outlet.
Stock held by the distributor as of the last update.
Choose a distributor source. Before analysis, Smartup checks records and matches products, outlets and warehouses to shared master data.
Agreed sales documents, warehouse inventory and master data.
Secondary sales and the available operating detail of the channel.
An export using an agreed template, with its reporting period and source.
The source, period and batch are registered.
Structure, required fields, dates and duplicates are checked.
SKUs, outlets, warehouses and units are linked to governed master data.
Accepted records are available for analysis; exceptions go to their owners.
Data frequency and grain depend on source capability and the agreed exchange policy.
Compare the three measures for the same period. Select a tab to see which data to check and what action to assign.
Sell-in growth without comparable sell-out may indicate inventory build-up or incomplete secondary-sales coverage.
Territory, outlet, SKU and active customer base help separate a demand change from a data gap.
Inventory is read with its refresh date and movements so that a stale value is not treated as a current fact.
Before a decision, check the update date, completeness, master data and stock movements. Assign an owner to each check.
Choose a situation to see the signs of a problem, who owns it and the next step.
The period has no accepted sales or inventory batch.
The record enters exceptions and must not distort the analysis.
Supply is moving faster than secondary sales in the selected slice.
Product is available, but outlet activity or assortment is declining.
After correcting the data or completing an outlet task, return to the same period and check the result.
Record the partner, period, batch and data owner.
Separate an accepted fact from a missing batch, duplicate or unknown ID.
Compare sell-in, sell-out, inventory and active outlets.
Assign a data correction or commercial task to an accountable owner.
Open the same period again and confirm that the exception is closed.
Smartup makes lineage and data quality visible, but it does not invent a missing fact or replace a partner’s system of record.
Detail down to outlet, SKU, warehouse or lot is available only when the source provides it.
The refresh interval is defined by the integration, system capability and the parties’ operating policy.
The distributor ERP or DMS may remain the owner of source documents and master data.
Start with selected distributors. Prepare sample sales and inventory records, master data and validation rules before connecting more partners.
Choose one or more distributors with accessible sales and inventory sources.
Define key SKUs, outlets, warehouses, units of measure and external IDs.
Agree freshness, completeness, duplicate, date and unknown-record rules.
Reconcile a source sample and confirm owners for commercial actions.
These materials separate DMS capability from data requirements and prepare a focused review of your exchange model.
The answers define source boundaries, quality rules and how the outcome will be verified.
Not when regular exchange is agreed. Frequency is set by the source and project, while freshness and missing batches remain visible.
Sell-in is supply into the channel; sell-out is the distributor sale to an outlet. They are analysed separately and together to explain product movement.
Yes. Each source receives a format, external-ID rules and validation policy before records are aligned to governed master data.
It is not silently mixed into reporting. The record enters a mapping exception with source and reason preserved.
Yes, when the source provides warehouse detail. The available grain and aggregation rules are documented during integration design.
Reconcile a source sample, assess completeness and freshness, review exceptions and confirm that each important signal leads to accountable action.
Discuss sales and inventory sources, available detail and validation rules. Define the scope of the first exchange.