Inventory Management for Deposco

AI Powered integration with expert operators

Procurement decisions become risky when buying teams are working from stale inventory forecasts. At scale, the gap between physical stock on the warehouse floor in Deposco and the available-to-sell logic in Inventory Planner creates reconciliation debt that teams cannot manually bridge. We connect Deposco to Inventory Planner to ensure your stock-on-hand figures reflect actual warehouse movements, receipts and picks. This replaces theoretical data with inventory truth, ensuring your purchasing team makes commitments based on actual warehouse availability rather than ghost stock or quarantined items.

Castore
Lounge
Oliver Bonas
Green People
Tatty Devine
Cult
Analysing operational gaps in your inventory stack

Integrating Deposco and Inventory Planner enables swift connectivity with these systems, enhancing your multi-channel and omnichannel retail strategy. Utilize Cogent's consulting expertise to scale efficiently, improving operational performance and tech stack capabilities through targeted training.

Solution Design

Our design for the Deposco and Inventory Planner integration prioritises warehouse truth over theoretical figures. We typically establish Deposco as the definitive source for physical stock on hand, ensuring warehouse movements inform procurement recommendations. A key decision involves timing. While movements often flow on a defined schedule to capture floor activity, we may batch certain data points to maintain system stability. This creates a trade-off where periodic snapshots provide high reliability at the cost of intra-hour granularity. This design ensures purchasing decisions are based on actual warehouse availability rather than stock tied up in quarantine or transit. By mapping granular warehouse movements to the forecasting tool, the purchasing team can commit to stock levels with a clear view of physical warehouse throughput.

Mapping inventory status and SKU level syncs

The integration establishes Deposco as the master of physical inventory, pushing warehouse movements to Inventory Planner. We map specific statuses, ensuring that various stock categories are correctly handled so they do not skew procurement recommendations. Data flows are sequenced to ensure receipts are processed before updating the forecast, preventing stock discrepancies from triggering incorrect purchase orders. We implement monitoring at the SKU level to catch data drift early, ensuring that the stock logic in your forecasting tool remains synchronised with the actual activity happening on the warehouse floor.

Automating data flow through central orchestration

Cogent2 uses IPaaS to seamlessly integrate Deposco and Inventory Planner, enabling efficient data flow and process automation. Benefits include reduced manual effort, improved data accuracy, faster implementation, and enhanced scalability, allowing agencies and consultants to focus on strategic tasks and deliver better client solutions.

Surfacing stock discrepancies and data drift alerts

Dashboards often show that data moved, but they rarely show if that data was correct. We focus on surfacing exceptions where physical stock in Deposco contradicts the inventory levels used for forecasting in Inventory Planner. We look for hidden issues like failed status updates that can lead to procurement errors. By monitoring the integrity of the sync at the item level, we catch discrepancies before they impact your buying cycle. You get visibility into the operational health of your inventory data, providing confidence that procurement decisions are based on accurate warehouse figures.

Defining ownership of physical and forecasted stock

Successful adoption requires procurement and warehouse teams to own the boundary between physical stock and forecasted demand. We hand over an operating model that defines how Deposco receipts flow into Inventory Planner and who responds when stock-on-hand figures drift. Training covers the daily checks for procurement teams to verify inbound shipments and the weekly reviews for operations to reconcile quarantined stock. We provide operational documentation focused on exception handling and alert response, ensuring the team knows who owns each discrepancy type. This is written as a practical reference for running the business, not a technical archive for IT, so teams can independently manage the gap between warehouse activity and long-range analysis.

Maintaining reliability as warehouse volumes scale

Post-launch, our support focuses on maintaining the integrity of the inventory sync. We monitor for data drift where warehouse adjustments in Deposco stop reaching Inventory Planner correctly. We provide ongoing oversight to ensure procurement staff can rely on their forecasting tool. This includes monitoring for sync failures and providing a clear path for issue resolution, ensuring your operating model remains effective as SKU counts and warehouse volumes increase.

Integration operating model

In this model, Deposco is the source of truth for the physical warehouse floor. SKU receipts, shipments and adjustments are recorded there first. This movement data flows into Inventory Planner, which acts as the intelligence layer for procurement and stock-turn analysis. Procurement teams use Inventory Planner to set purchasing thresholds, relying on the fact that stock figures are mirrored from actual warehouse activity. This approach reduces the need for manual reconciliation between the warehouse and the purchasing office, allowing teams to focus on inventory performance rather than fixing data gaps.

Common failures

Misleading 'Available to Purchase' stock levels

Operational impact: This occurs when the integration feeds a simple 'stock on hand' figure from Deposco to Inventory Planner, including non-sellable stock such as items in transit, in quality control, or awaiting put-away. The procurement team, trusting the data in Inventory Planner, makes purchasing decisions based on these inflated 'ghost stock' figures. This leads to misallocated capital, ordering SKUs that do not need replenishment while starving those that do, and undermining trust in the forecasting tools.

Prevention / Action: The integration logic must be built to translate Deposco's granular inventory view into a specific 'Available to Purchase' figure. This involves mapping Deposco's detailed stock locations and statuses to a clear set of rules that defines what is truly available. Ownership must be clear: Deposco owns the physical truth, and the integration owns the business logic that provides a commercially accurate figure for forecasting.

Inaccurate stock valuation in forecasts

Operational impact: Inventory Planner requires accurate cost-of-goods data to forecast purchasing cashflow and calculate SKU profitability. If the integration only syncs item receipts from Deposco without enriching them with landed costs (like freight, duties, and handling fees from the ERP), the stock value is understated. The finance team's cashflow forecasts become unreliable, and monthly stock valuation reports require extensive manual adjustment to reconcile with the general ledger.

Prevention / Action: Design the data flow so that when Deposco confirms a goods-in receipt, the integration triggers a process to associate all related landed costs from carrier invoices or purchase orders in the ERP. This fully-costed unit value should then be synced to Inventory Planner. This ensures procurement forecasts are based on the true cost of inventory, providing an accurate basis for financial planning and stock-turn analysis.

SKU master data misalignment

Operational impact: If a new SKU is created in the master system but fails to sync to Deposco before the stock arrives, the goods-in process breaks down. The warehouse team cannot scan the items, creating a physical bottleneck on the receiving dock and delaying stock availability. Inventory Planner, seeing zero available stock and no inbound orders, may then issue an unnecessary purchase recommendation for items that are physically in the building but invisible to the system.

Prevention / Action: Implement a strict master data management process where item creation is a sequenced, audited workflow. A new SKU must be successfully created and confirmed in Deposco before a Purchase Order can be raised with a supplier. The integration should include exception handling to flag any POs synced to the warehouse that contain unrecognised SKUs, allowing operations teams to fix the data before the delivery arrives.

Data latency creating stale forecasts

Operational impact: Procurement decisions are highly time-sensitive, especially for fast-moving products. If the integration only updates Inventory Planner from Deposco with a slow, infrequent batch file (e.g., once every 24 hours), the purchasing team is always working with outdated information. They are effectively making six-figure decisions based on yesterday's sales and stock reality, increasing the risk of stockouts on key lines or over-ordering slow-movers.

Prevention / Action: Configure the integration to use a hybrid update model. High-impact events in Deposco, such as 'Goods Received' or 'Stock Adjustment', should trigger an immediate, targeted update to Inventory Planner for the affected SKUs. This can be combined with a more frequent full reconciliation (e.g., every 15-30 minutes) to ensure forecast inputs are as close to real-time as the business requires, without overwhelming the APIs.

Frequently asked questions

Which system becomes the source of truth for inventory, Deposco or Inventory Planner?

Deposco acts as the definitive source of truth for physical stock on hand in the warehouse. The integration pushes granular stock level updates for each SKU from Deposco into Inventory Planner. Inventory Planner then uses this accurate data to run its forecasting, ensuring procurement decisions are based on what is physically available.

How does the integration handle stock in transit or quarantine so we don't re-order inventory we already own?

The integration is configured to map specific Deposco inventory statuses to the logic inside Inventory Planner. Stock marked as 'in transit' or 'under inspection' in Deposco is not treated as 'available to sell' within Inventory Planner's forecasting engine. This prevents procurement from making purchasing decisions based on inventory that isn't actually ready for sale.

Our purchasing decisions are significant. How do we ensure the data in Inventory Planner isn't stale?

The connection is designed to bridge active warehouse operations in Deposco with the financial commitments made in Inventory Planner. By syncing discrete warehouse events like goods receipts and stock adjustments, the integration ensures the data is not just a stale snapshot. This gives your procurement team the confidence to act on recommendations for purchase orders worth thousands of pounds.

We have missed buying cycles because our forecasting data was out of date. How does this integration address that?

This problem arises when forecasts in Inventory Planner do not reflect real-time warehouse activity in Deposco. By syncing granular movements like the receipt of a supplier delivery or completion of a stock take from Deposco, the integration provides an accurate, up-to-date inventory picture. This ensures Inventory Planner's recommendations are timely and your team does not miss critical procurement windows.

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