AI Powered integration with expert operators

Prediko Demand Forecasting and Peoplevox

Integration Agency & Consultants

Operational pressure peaks when procurement teams can no longer trust demand forecasts to align with physical stock. At scale, the gap between Prediko demand signals and Peoplevox Available quantity leads to capital being trapped in overstock or lost in stockouts. Stock availability must flow reliably from Peoplevox into Prediko to govern replenishment, ensuring SKU levels and Inbound Shipments are visible before a Purchase Order is confirmed. This alignment protects capital liquidity by grounding every buying decision in warehouse truth rather than spreadsheet assumptions.

Castore
Lounge
Oliver Bonas
Green People
Tatty Devine
Cult
Audit of demand and warehouse gaps

We connect your Prediko Demand Forecasting and Peoplevox Shopify App, WMS/3PL, and other systems for efficient operations. Our consulting services are valuable because our system audit uncovers integration gaps and inefficiencies between platforms like Prediko Demand Forecasting, Peoplevox, Shopify App, and WMS/3PL. This enables our consultants and your team to take decisive action, ensuring your technology ecosystem runs smoothly and efficiently, so you can deliver a great customer experience.

Solution Design

Design for the Prediko and Peoplevox integration prioritises aligning demand signals with warehouse reality. We establish Peoplevox as the authoritative source for inventory levels, while Prediko owns the demand logic and purchase order planning. A key decision involves synchronising stock at defined intervals rather than high-frequency polling. This is a deliberate trade-off: it prevents Prediko from triggering procurement signals based on transient warehouse movements, such as internal bin transfers. High-frequency polling can introduce data noise that disrupts long-term forecasting, so this choice ensures the engine reacts to stable availability data. This design protects the warehouse from unnecessary API load while ensuring the planning team works from a verified view of stock.

Mapping availability and receipt data flows

Data flows from Peoplevox to Prediko to ensure warehouse availability dictates the replenishment schedule. In many implementations, we map the Peoplevox Available quantity rather than On Hand to account for open orders and stock reservations, which helps prevent redundant purchases for stock already committed. Inbound stock from warehouse receipts feeds back into Prediko to update availability assumptions. By monitoring the integrity of this flow, we catch sync gaps before procurement teams make buying decisions based on stale records or unmapped SKU variations. This prevents small data discrepancies from compounding into significant overstocking or stockout events during peak trade.

Orchestration through secure integration platforms

Leveraging IPaaS with ISO 27001 and SOC 2 and above security accreditations enables secure, efficient delivery of Prediko Demand Forecasting and Peoplevox integrations for Shopify App and WMS/3PL users. IPaaS simplifies connecting Prediko Demand Forecasting with Peoplevox, Shopify App, and WMS/3PL, ensuring data integrity and compliance. The platform reduces manual effort, supports scalability, and guarantees that security standards—ISO 27001 and SOC 2 and above—are always met.

Monitoring SKU drift and status mapping

Standard dashboards often show a successful connection even when SKU data is silently drifting. We monitor for issues where warehouse status codes haven't been correctly mapped, causing Prediko to ignore stock that is physically present. Our monitoring tracks the variance between Peoplevox Available quantities and Prediko baseline to catch sync issues before they skew your next procurement round. We categorise these exceptions by risk, ensuring you address inventory discrepancies that threaten availability before investigating minor reporting anomalies. This surfaces hidden issues where manual warehouse workarounds aren't reflected in the forecast. We ensure exceptions are flagged early, well before they lead to replenishment errors.

Handover for replenishment and exception management

The operations and demand planning teams must own the integration to prevent stockouts and over-purchasing. Handover focuses on ensuring planners understand the data flow between Peoplevox available levels and Prediko demand signals. Processes are established to verify sync status and manage exceptions where physical inventory diverges from predicted needs. Training is anchored in the design decisions for your warehouse, covering how to interpret alerts and which system owns each data object. Documentation is provided as a practical operational guide written for the people running the business, helping them maintain the replenishment schedule without deep technical support.

Long-term governance of the sync logic

Post-launch, we maintain operational oversight of the Prediko and Peoplevox sync to prevent replenishment cycles from running on stale data. When a stock sync error occurs, we resolve the underlying logic rather than simply clearing the exception, addressing the root cause of operational drift. This focus on operational ownership ensures purchase recommendations are grounded in verified data, protecting against compounding errors as SKU volumes and warehouse complexity increase. Our goal is to ensure the integrity of the data used by your procurement team.

Integration operating model

The operating model relies on a clear ownership boundary: Peoplevox owns the physical truth of the warehouse and Prediko owns the commercial truth of demand. On a defined schedule, the Available quantity (On Hand minus Allocated) is pulled from Peoplevox into the forecasting tool to refresh the plan. Planners work inside the forecasting system to generate Purchase Orders based on these live warehouse states. This eliminates the reconciliation debt and manual reporting lag that typically causes stockout risks during peak trading.

Common failures

Forecasts based on stale inventory data

Operational impact: Prediko's demand forecast advises purchasing based on an outdated view of warehouse inventory. This leads to ordering stock that is not needed, tying up capital and increasing holding costs, or conversely, failing to reorder fast-moving SKUs just before they stock out, resulting in lost sales. The finance and operations teams are constantly reacting to inventory levels that do not match the plan.

Prevention / Action: Establish Peoplevox as the single source of truth for 'available to promise' and 'stock on hand' inventory levels. The integration must sync inventory data from Peoplevox to Prediko on a frequent, defined schedule that aligns with the purchasing cycle. Design robust monitoring and exception handling to alert the operations team immediately if this inventory sync fails, preventing decisions being made on old data.

Inbound stock is invisible to the forecast

Operational impact: The demand plan in Prediko recommends ordering SKUs for which a large inbound delivery is already scheduled in Peoplevox. This leads to significant over-stocking, increased pressure on warehouse capacity upon receipt, and unnecessary cash being tied up in safety stock. The planning and purchasing teams operate without full visibility of stock that is already 'on order' or in transit.

Prevention / Action: Ensure that confirmed Purchase Orders or Advance Shipping Notices (ASNs) are visible in both systems. When a PO is created in the source system (e.g., an ERP), it should create an expected inbound delivery in Peoplevox and update the 'on order' quantity for the relevant SKU in Prediko. This requires clear process design, defining the point at which a PO is considered 'confirmed' and becomes part of the forecast calculation.

SKU and item code mismatches

Operational impact: A SKU in the sales data fed to Prediko fails to map to a corresponding Item record in Peoplevox due to differences in formatting, naming, or identifier. This can make entire product lines invisible to the forecasting engine, leading to repeated stock-outs of seemingly popular items. It creates significant manual work for operations and finance teams who must reconcile sales and inventory records after the fact.

Prevention / Action: Define a single system of record for all Item Master Data, including SKUs, barcodes, and descriptions, which is automatically synced to both Prediko and Peoplevox. The integration logic must include a validation step that flags any sales order lines containing un-mappable SKUs. Create an operational process for the merchandising or data team to correct these exceptions before they pollute forecasting and stock records.

Returned stock inflates demand signals

Operational impact: Peoplevox processes a customer return and correctly adds the SKU back into the available stock count. However, the gross sales data used by Prediko does not account for the return, making the product's sales velocity appear artificially high. This is especially damaging for SKUs with high return rates, as it causes the forecast to consistently recommend over-purchasing, tying up cash in items that churn rather than sell through.

Prevention / Action: The integration's data flow must be designed to provide a more accurate view of true demand. This involves either adjusting the sales data sent to Prediko to be net of returns, or creating a separate report on SKU-level return rates for the planning team. When a return is processed in Peoplevox, the logic for updating 'stock on hand' must also differentiate between resalable 'A-Grade' stock and units that need to be written off, ensuring only sellable inventory informs the forecast.

Frequently asked questions

How does real-time stock information from Peoplevox improve purchasing recommendations in Prediko?

The integration provides Prediko with near real-time inventory levels, including 'available to sell' quantities and inbound stock, directly from the Peoplevox warehouse management system. This ensures Prediko's demand forecast is based on actual warehouse capacity, not just historical sales data. As a result, purchase order recommendations for each SKU are more accurate, reducing the risk of ordering stock that already has high availability in Peoplevox.

What happens if our SKUs do not match between our sales channels and Peoplevox Item records?

SKU consistency is critical for the integration to function correctly, as Prediko uses SKUs to align sales data with inventory levels from Peoplevox. If an Item record in Peoplevox has a different identifier, Prediko may forecast demand for a SKU that it cannot see in the warehouse. This leads to inaccurate purchasing recommendations, causing you to buy products that are already in stock under a different code.

We use Prediko but still have stockouts on fast-selling items. How does this integration address that?

This problem often occurs when the demand forecast in Prediko does not have access to live warehouse data from Peoplevox. By connecting the two, Prediko's forecasting engine can consume real-time stock availability, including fulfilment velocity and current stock on hand. This closes the data loop, allowing purchasing decisions to be adjusted based on what is actually happening in the warehouse, preventing lost sales on your most popular SKUs.

Why is a direct Peoplevox connection better than using inventory data from our ERP?

Your ERP typically holds a periodic snapshot of inventory, but Peoplevox contains the live, operational truth of what is available for fulfilment at your 3PL at any given moment. Relying on ERP data introduces delays and potential inaccuracies, as it may not reflect real-time goods-in processes or picking activity. A direct connection ensures Prediko bases its forecasts on the most precise stock levels from Peoplevox, which is vital for preventing stockouts of key items.

If we perform a manual stock adjustment in Peoplevox, will Prediko's forecast account for it?

Yes, this is a core function of the integration. Any process that changes an Item Record's 'available to sell' quantity in Peoplevox, such as a stock take or manual adjustment, will be synchronised with Prediko. This ensures Prediko does not generate purchase orders based on outdated stock data from before the adjustment. Without this, a large correction in Peoplevox could be missed, leading to significant over-purchasing or unexpected stockouts.

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