If any of the above are true of your business, the purchasing function is working harder than it needs to because demand is not consolidated before purchasing decisions are made.
Stok.ly consolidates all backordered demand for a SKU across all customers and orders before generating a purchasing recommendation. The purchasing team sees one demand signal per SKU — the total outstanding quantity across all backorders plus any reorder point demand, minus stock already inbound on an existing PO. One PO. One delivery. One goods-in. When stock arrives, it is automatically allocated to backorders in priority order.
The sequence that produces 20 POs for the same SKU is predictable. Customer A backordered item X on Monday. A PO was raised for Customer A’s quantity. Customer B backordered item X on Tuesday. Another PO was raised. By Friday, eight customers have backordered item X and eight POs have been raised — all to the same supplier, all for the same product, none of them communicating that the others exist.  Stok.ly reverses this sequence.
All eight backorders for item X are visible as a single demand signal in the purchasing view. The total consolidated quantity — all eight customers combined — generates one purchasing recommendation.
The purchasing team raises one PO at the click of a button.
The supplier receives one clear order. One delivery arrives. One goods-in event processes it.
The 20-PO problem never occurs because the consolidation happens before the PO, not after.
Effective demand consolidation requires a purchasing view that shows total outstanding demand per SKU rather than per customer or per backorder event. In most systems, the purchasing view is organised around individual orders or individual customers — which makes consolidation a manual exercise in aggregation.
In Stok.ly, the purchasing view is organised around SKUs.
For each product that requires replenishment, the view shows: total backordered demand across all customers, total reorder point requirement, stock already inbound on existing open POs, and the net quantity to order.
The purchasing decision is made from this complete picture.
There is nothing to manually consolidate because the consolidation already happened.
The operational cost of PO proliferation is not just the time spent consolidating.
It is the multiple deliveries that result from multiple POs.
The same product arrives on three different days in three different cartons.
The warehouse team processes three separate goods-in events for the same SKU in the same week.
Each goods-in takes time. Each creates its own receipt record.
Each needs to be matched to an open PO for the quantity to close correctly.
A single consolidated PO produces a single delivery.
One goods-in event. One receipt record. The warehouse team processes it once. The PO closes once.
The available-to-sell updates once.
See also: We Can’t See What Can Ship, What’s Committed and What’s Backordered.
| Capability | What it controls | Why it matters |
|---|---|---|
| Demand consolidation | All backordered demand for a SKU across all customers aggregated into one purchasing signal | One PO per SKU per supplier per cycle; no manual post-hoc consolidation |
| Per-SKU purchasing view | Total outstanding demand for each SKU visible before any PO is raised | Purchasing decision made on complete demand picture, not individual backorder events |
| Purchase order accuracy | PO quantity based on total consolidated demand plus reorder point, minus existing inbound POs | Right quantity ordered; not under-ordered or over-ordered by missing part of the demand picture |
| Consolidated goods-in | One delivery to receive against one PO rather than multiple partial deliveries in the same cycle | Warehouse receives once per SKU per cycle; goods-in effort proportional to actual delivery volume |
| Backorder allocation on receipt | Stock arriving against consolidated PO allocated to backorders in priority order | Oldest or highest-priority backorders fulfilled first; allocation is automatic, not manual |
| Live demand signal | Consolidated demand signal updates in real time as new backorders are placed and POs change | Purchasing team always works from the current total demand before making a supplier commitment |
| Current approach | What tends to break | Stok.ly |
|---|---|---|
| Each backorder triggers its own purchasing action | 20 POs for the same SKU; hours of manual consolidation; multiple deliveries | Demand consolidated before PO generation; one PO per SKU per cycle; no manual consolidation |
| Demand visibility per-customer at time of purchasing | Purchasing misses demand from other customers with the same backorder in the same cycle | Per-SKU view shows all customers with outstanding demand before any PO is raised |
| Multiple POs to same supplier for same SKU in same cycle | Supplier receives fragmented orders; may fulfil at different times and prices | Single consolidated PO; supplier receives one complete order for the replenishment cycle |
| Consolidation done manually after POs are raised | Hours of work per week; consolidation errors create wrong quantities; team time consumed | Consolidation is automatic before PO generation; manual work eliminated |
| Same SKU received in multiple partial deliveries in same week | Multiple goods-in events for the same product; warehouse effort fragmented | One consolidated delivery per SKU per cycle; one goods-in event per SKU |
| Purchasing triggered reactively by each backorder event | Permanently behind demand; always catching up; purchasing decisions made with partial information | Demand-signal purchasing: complete consolidated demand visible before any supplier commitment |
“We have gone from a pen and paper warehouse to a completely digital system that has streamlined our business immensely.”
Verified G2 review, 5 stars — Read on G2
Businesses with simple, predictable replenishment needs and low backorder frequency where individual PO generation per event is manageable. Businesses with a single customer or very few SKUs where demand consolidation adds no material operational value. The benefit of demand consolidation increases with SKU count, customer count and the frequency of backorder events per replenishment cycle.
What do you like best about Stok.ly – Inventory-Centric Cloud ERP?
“we have been a user for the last 4 years and we cannot think of life without it for our retail business. it makes listing to shopify and other marketplaces easy, keeps inventory accurate online and the POS is easy to use. accurate inventory across all sales channels is the big win for us.”
Multiple POs for the same SKU accumulate when purchasing is triggered by individual backorder events rather than consolidated demand across all outstanding orders. Ten customers backordering the same SKU in the same week generates ten purchasing actions and, in the absence of a consolidation step, ten separate purchase orders to the same supplier. The team consolidates them manually after the fact — a task that recurs every week.
Demand consolidation is the aggregation of all outstanding demand for a SKU — from all backorders, all customers and all demand signals — into a single purchasing quantity before any supplier PO is generated. In Stok.ly, the purchasing view shows total consolidated demand per SKU: all backordered quantities across all customers, plus reorder point demand, minus stock already inbound on existing open POs. One PO is raised for the consolidated quantity. Manual post-hoc consolidation is eliminated.
Stok.ly generates purchasing recommendations from the live operational record. The demand signal for each SKU is the total of all outstanding backorders plus reorder point requirements, minus any quantity already expected on open purchase orders. The recommendation is a single quantity per SKU per supplier. The purchasing team reviews the recommendation, adjusts if required, and raises one PO. The complete demand picture is visible before the purchasing decision is made.
When goods-in is confirmed for the consolidated purchase order, Stok.ly allocates the received stock to outstanding backorders in priority order. The default is oldest backorders first. Customer priority tiers can be configured to ensure high-value accounts are fulfilled first. The allocation is automatic — no manual distribution of received stock across backorders is required.
Backorder-driven purchasing generates a purchasing action for each individual backorder event. Ten customers backordering the same product generates ten purchasing actions and potentially ten POs. Consolidated purchasing aggregates all demand before generating any purchasing action. The same ten customers generate one demand signal and one PO for the total consolidated quantity. One supplier order. One delivery. One goods-in event.
The consolidated PO quantity is the total of all backordered demand for the SKU across all customers, plus any reorder point quantity required to return to minimum stock levels, minus the quantity already inbound on any existing open purchase order for the same SKU. The calculation is live — it updates as new backorders are placed and as open POs are confirmed, changed or closed.
Stok.ly generates purchasing recommendations from consolidated demand signals. The purchasing team reviews and approves PO generation, or the system can be configured to generate POs automatically when demand meets defined thresholds. The exact automation level is configured per business and supplier. Demand consolidation happens automatically regardless of whether PO generation is manual or automated.
Orderwise’s purchasing and backorder management is built on a Windows-based platform with SQL-driven reporting. Many customers describe the backorder management process as manual and the purchasing workflow as disconnected from real-time demand signals. The system generates reports rather than live demand views, and consolidation of backorder-driven purchasing typically happens manually through report exports. Stok.ly connects live consolidated demand to purchasing recommendations from the same operational record as orders and inventory.
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