Prediko Demand Forecasting and Deposco
Integration Agency & Consultants
Cogent2 combines AI-powered integration delivery with experienced operators to connect Prediko's demand plans to your Deposco warehouse data. As lead times grow, the gap between a forecast and physical stock is a direct threat to cash flow. Our work makes purchasing decisions more reliable by grounding them in actual inventory levels.
Auditing existing inventory and planning data
Cogent connects your Prediko Demand Forecasting and Deposco systems efficiently. Our consulting services, particularly our systems audit, are invaluable for ensuring your tech ecosystems, including Shopify App and WMS/3PL, run smoothly. By identifying inefficiencies and integration gaps, our audits enable your team to take decisive action. This ensures your Prediko Demand Forecasting and Deposco integrations are optimised, allowing your Shopify App and WMS/3PL systems to function effectively. As a result, you can deliver an exceptional customer experience with a streamlined and efficient operation.
Solution Design
Design decisions for the Prediko and Deposco pair focus on aligning demand intelligence with physical warehouse execution. We commonly establish Deposco as the authoritative source for on-hand inventory levels and receipting status, while Prediko owns the logic for purchase order generation. A primary trade-off involves the timing of inventory snapshots. While frequent syncs provide narrow stock windows, they can increase system load during peak periods, so we often recommend a defined schedule to maintain stability for demand planning. We prioritise SKU mapping as the foundational step, ensuring Item IDs in the warehouse master match the planning tool to prevent orphaned records. This design ensures the finance team works from accurate stock valuations, while operations staff manage physical receipts against validated purchase orders rather than manual CSV uploads.
Syncing inventory snapshots and expected receipts
The integration creates a closed loop between Prediko planning and Deposco execution. Deposco serves as the authoritative source for actual inventory levels and receipt confirmations, which flow into Prediko to refine reorder points and lead time assumptions. When Prediko generates a purchase order, the data is pushed to Deposco as an Expected Receipt, ensuring the warehouse team is prepared for incoming stock without manual data entry. We monitor the SKU mapping between the two systems to ensure that bundle components or new product launches do not create sync gaps. Early detection of failed receipts or SKU mismatches prevents the planning tool from making decisions based on stale or incorrect inventory snapshots.
Building secure connections on compliant architecture
Cogent2 leverages IPaaS to deliver Prediko Demand Forecasting and Deposco integration securely by connecting systems like Shopify App, WMS/3PL, and more. IPaaS platforms with ISO 27001 and SOC 2 compliance and above ensure data security. Benefits include streamlined Prediko Demand Forecasting, efficient Deposco integration, and enhanced Shopify App and WMS/3PL connectivity, all while maintaining robust security standards.
Monitoring data integrity and stock drift
Monitoring focus shifts from 'is the sync on' to 'is the data accurate'. Dashboards alone rarely surface the compound errors caused by partial receipts or incorrectly closed purchase orders. We monitor the integrity of the loop, flagging when Deposco stock levels drift from the Prediko baseline or when expected receipts are overdue. We surface specific exceptions, such as SKUs that exist in the planning tool but lack a corresponding record in the warehouse system. This early detection ensures that your demand forecasts are always built on verified physical stock, preventing the costly error of over-ordering based on ghost inventory.
Operational handover for planners and warehousemen
Handover ensures your operations and planning teams own the new workflow between Prediko and Deposco. We define clear ownership for daily stock reconciliation and demand plan reviews. Your team learns to interpret planning alerts and map them to physical receipts recorded in the warehouse. Training focuses on exception handling, such as managing partial shipments or SKU mapping discrepancies that could distort lead time calculations. We provide operational documentation written for the people running the business rather than a technical manual. This ensures the inventory planners can identify and resolve data drift before it impacts availability or ties up excessive cash.
Ongoing governance of the planning loop
Post-launch support focuses on the integrity of the planning-to-warehouse loop. We take technical ownership of the sync, monitoring for inventory drift and purchase order failures before they impact your reorder points. We look for data issues such as mismatched SKU IDs or warehouse receipting delays that would otherwise lead to stock-outs or over-purchasing. This ongoing oversight protects your cash flow by ensuring the operations team works from validated data, while we manage the resolution of technical exceptions.
Common failures
Inconsistent SKU master data
Operational impact: If Prediko's planned Purchase Order contains SKUs that do not exist or are inactive in Deposco, the inbound receipt process will fail. This forces manual data correction by operations or merchandising teams, delaying the check-in of goods. The resulting stock-out means lost sales, and the failed sync pollutes future demand forecasts with inaccurate availability data.
Prevention / Action: Establish a single source of truth for SKU master data, which must be created and active in Deposco before it can be planned in Prediko. The integration logic should validate SKU existence upon Purchase Order sync, quarantining any failures for review. An automated alert should notify the responsible team to resolve the data mismatch, preventing silent failures that are only discovered when stock arrives at the warehouse.
Mishandling of partial or split purchase order receipts
Operational impact: Prediko will issue a Purchase Order for a set quantity, but suppliers may deliver this in multiple partial shipments. If the integration only looks for a single receipt event, it can cause major data discrepancies. The finance team may see incorrect accruals for goods-in-not-invoiced, and Prediko may assume the entire PO is still outstanding, leading it to recommend redundant purchase orders and creating excess stock.
Prevention / Action: The integration must be designed to handle one-to-many relationships between a single Purchase Order and multiple goods-receipt events in Deposco. Deposco's receipt record should be the source of truth for quantities and date received. This data must cycle back to update the open PO status in Prediko or the parent ERP, ensuring that demand forecasting is based on actual landed inventory and correct in-transit stock levels.
Latency in received inventory synchronisation
Operational impact: When warehouse teams receive items and finalise them in Deposco, those units are physically available. If there is a material delay in synchronising this 'on hand' stock update to Prediko, the forecasting engine operates on stale data. This can cause Prediko to incorrectly calculate stock-out risk and recommend new purchasing for SKUs that are already in the building, tying up capital in unnecessary safety stock.
Prevention / Action: Design the integration to trigger an inventory level update from Deposco to Prediko immediately following a 'Goods Received' or 'Put-away Complete' event. Where event-driven updates are not feasible, the scheduled sync frequency must be high enough to reflect the velocity of inbound deliveries. Monitor the queue and processing time for these updates as a core integration health metric, with alerts for any jobs that fall outside the expected schedule.
Frequently asked questions
How do Prediko and Deposco share responsibility for purchase orders and inventory?
Prediko typically serves as the planning engine, analysing sales trends to generate recommended purchase orders based on your desired stock cover. These purchase orders are then sent to Deposco, which manages the physical goods-in process at the warehouse. Once received, Deposco updates the actual inventory levels, providing Prediko with accurate on-hand stock data to refine future demand forecasts.
My purchase orders from Prediko often don't match what Deposco receives. Why does this happen?
Discrepancies often arise from inconsistent SKU data between the two systems or issues with how partial shipments are recorded. For example, if a purchase order from Prediko for 100 units is fulfilled by the supplier in two lots of 50, Deposco must be configured to correctly associate both receipts with the original PO. Without this, you risk Prediko showing an inaccurate shortfall, leading to incorrect reordering.
Our supplier lead times are lengthening. How does connecting Prediko and Deposco prevent stock-outs?
By integrating the systems, Prediko uses Deposco's real-time inventory levels and supplier lead time data to calculate more accurate reorder points for every SKU. This replaces manual spreadsheet calculations, which can become outdated and cause stock-outs on items with long lead times. When Deposco confirms a purchase order is received, Prediko's planning data is updated, ensuring reorder alerts are always based on actual stock on hand.
We currently create purchase orders in spreadsheets and email them. How does this integration automate that?
Instead of using spreadsheets, Prediko generates optimised purchase order recommendations that are automatically created in Deposco. This eliminates manual CSV uploads and re-keying PO data, reducing the risk of human error. When stock arrives, warehouse operators simply scan it against the existing purchase order in Deposco, and the confirmed inventory levels are synced back to Prediko automatically.