Prediko Demand Forecasting and Prima
Integration Agency & Consultants
Inaccurate demand signals usually become painful when the purchasing team can no longer trust Prima stock figures to drive Shopify replenishment. At scale, relying on static stock thresholds leading to manual spreadsheets, preventable stockouts on top sellers, and capital frozen in slow-moving inventory. This integration translates Prima's transactional daily data into predictive signals within Prediko, ensuring you buy what is actually selling.
Auditing system gaps across your supply chain
We connect your Prediko Demand Forecasting and Prima integrations with your Shopify App and ERP quickly and efficiently. Our consulting services are invaluable, offering a thorough systems audit to uncover inefficiencies and integration gaps. This enables our consultants and your team to take decisive action, ensuring your tech ecosystem—including Prediko Demand Forecasting, Prima, Shopify App, and ERP—runs smoothly. With our expertise, you can deliver a consistently excellent experience to your customers and keep your operations running at their best.
Solution Design
Design for Prediko and Prima focuses on translating transactional ERP data into predictive signals. We typically treat Prima as the authority for inventory levels and historic sales. A key design decision involves the frequency of data syncs and where replenishment recommendations are finalised. We often suggest batching historic sales data to ensure seasonal trends are captured correctly, while syncing stock levels regularly to prevent over-forecasting. A common trade-off involves product mapping depth. Highly granular mapping provides better demand clusters but requires more intensive data management. This approach ensures finance closes monthly using Prima's audited figures while the operations team makes procurement decisions based on forward-looking demand signals.
Synchronising stock levels and purchase order flow
The integration establishes Prima as the authoritative source for inventory and purchase orders, while Prediko serves as the forecasting engine. Sales and inventory data flow into Prediko to generate demand profiles for every SKU. We implement logic to manage lead times, ensuring that once a purchase order is created in Prima, the expected stock is accounted for in future demand calculations. The system is designed to monitor for mapping errors, such as when items are created in the ERP but are not yet synced for forecasting. This ensures data integrity is maintained before replenishment decisions are made.
Secure orchestration for high volume data flows
Leveraging IPaaS with ISO 27001 and SOC 2 and above security accreditations, Prediko Demand Forecasting and Prima integrate Shopify App and ERP systems securely and efficiently. IPaaS enables Prediko Demand Forecasting and Prima to connect Shopify App and ERP platforms, ensuring data integrity and compliance. The benefits include simplified integration, robust security, and reliable data flow, making it easier to deliver and maintain these solutions while meeting the highest security standards.
Monitoring data drift and SKU mapping errors
Standard dashboards often fail to catch operational drift before it impacts purchasing decisions. Effective visibility requires monitoring the gap between Prima stock reports and the data Prediko uses for demand modelling. We look for hidden failures, such as items that exist in Prima but haven't mapped to a Shopify SKU, which creates a blind spot in your forecast. Highlighting these mapping exceptions early prevents procurement teams from placing orders based on incomplete or outdated data.
Embedding replenishment workflows into daily operations
Handover focuses on ensures your procurement, operations, and finance teams own the new operating model. We clarify where data objects live and how to interpret Prediko signals alongside Prima inventory. Procurement teams learn to check sync health and review replenishment suggestions daily, while finance teams cross-reference predicted spend against purchase orders during planning cycles. We define who owns specific exception types, such as unmapped SKUs or stock record drift. Documentation is provided as a practical manual for daily workflows, not a technical archive. It is designed so your team can manage alerts and maintain data integrity without ongoing external reliance.
Active governance of demand signal integrity
Our support model provides ongoing oversight of the integration between Prediko and Prima. We monitor data flows to identify discrepancies in stock levels or sales records that could skew demand forecasts. Should mapping errors or sync interruptions occur, we manage the investigation and resolution process. This goes beyond basic troubleshooting. We ensure your procurement team can rely on the data used for demand planning, maintaining system accuracy as your product range and order volumes grow. Our goal is to prevent stockouts and minimise frozen capital through persistent data integrity.
Common failures
Stock allocation mismatches
Operational impact: Prima distinguishes between total stock and available stock. If forecasting reflects a stock figure that includes units already allocated to open orders, it inflates your perceived cover. This often leads teams to delay Purchase Orders, resulting in stockouts the moment those allocations are fulfilled.
Unfiltered sales data skewing velocity
Operational impact: If Prima sales data is passed without status filtering, forecasting tools may include cancelled or fraudulent orders in demand calculations. This creates a sync illusion where sales velocity appears higher than reality, leading to over-purchasing and frozen capital in the warehouse.
SKU fragmentation and mapping gaps
Operational impact: When Prima product codes do not match Shopify SKUs exactly, systems treat them as separate records. This fragments the sales history, making it impossible to generate a consolidated forecast for a single product. Merchandising teams are left with a split view of demand, which typically results in overstocking some variants while others face stockouts.
Frequently asked questions
Our 'available' stock in Prima is often inaccurate due to warehouse allocations. How does the integration handle this for forecasting?
This is a common problem where Prediko's forecasts become skewed by using Prima's 'Available' stock figure, which may include allocated but unshipped items. A correct integration must use a more accurate measure, like 'Physical Stock', to ensure demand forecasts are based on truly sellable inventory. Without this, you risk under-ordering key SKUs because the system thinks you have more stock than you do.
How do cancelled or refunded orders affect our demand forecast in Prediko?
Prediko may not automatically exclude sales data from orders that are later cancelled or refunded, which can artificially inflate sales velocity for certain SKUs. An effective integration must filter out these sales orders using their status from Prima or Shopify. This ensures your forecasting model is not distorted by sales that did not complete, preventing you from over-ordering based on false signals.
Will my team need to manually create purchase orders in Prima based on Prediko's forecasts?
A common operating model is to use Prediko’s replenishment suggestions to automatically generate draft Purchase Orders (POs) directly within Prima. This removes the risk of manual data entry errors when transferring SKU quantities and supplier details from one system to the other. The purchasing team can then simply review and approve these draft POs, linking procurement directly to the live forecast.
We are worried this integration will create more complexity. How do we ensure Prima remains the source of truth?
Prediko acts as a forecasting engine, but Prima should always remain the operational source of truth for core data like item records and final purchase orders. The integration reads sales and inventory data from Prima to generate forecasts, but the resulting replenishment decisions are actioned back into Prima's native workflows. This ensures there is no ambiguity for your operations team about which system holds the master record for inventory and procurement.