Prima and Pimberly
Integration Agency & Consultants
We combine experienced operators with AI-powered delivery to build connections that make operational sense. When Pimberly acts as the definitive product master for Prima, you eliminate the data errors that create downstream friction. The result is a trusted product catalogue that supports faster product launches and more accurate financial reporting.
Auditing data gaps and ERP inefficiencies
We connect your Prima and Pimberly integration swiftly, ensuring your ERP and PIM systems work together efficiently. Our consulting services are invaluable, with system audit services that uncover inefficiencies and integration gaps between Prima, Pimberly, ERP, and PIM platforms. These audits empower both our consultants and your team to take decisive action, helping your technology ecosystem run smoothly and efficiently. This means you can deliver a consistently excellent experience to your customers, confident that your systems are optimised for performance and reliability.
Solution Design
We architect the Prima and Pimberly integration with a clear hierarchy of truth. Pimberly acts as the master source for all product attributes and enriched data, while Prima remains the authority for pricing, stock levels, and financial records. A core design decision for this pair is to synchronise product data from Pimberly to Prima on a defined schedule rather than using immediate triggers. This ensures only validated catalogue information reaches the ERP, protecting downstream sales orders and financial reporting from data errors. The trade-off is a deliberate choice: we prioritise data integrity over real-time updates. Real-time syncs of incomplete data can lead to pricing mismatches or incorrect product records in Prima. This approach ensures the finance team works with accurate product data at month-end, while operations work from a clean, consistent catalogue across all channels.
Mapping Pimberly attributes to Prima records
The integration establishes Pimberly as the master for product information, pushing enriched attributes, descriptions, and media into Prima. This flow ensures the product codes in your ERP align with your sales channels, preventing catalogue fan-out issues. We implement validation rules to ensure data only moves when it meets specific criteria, such as mandatory SKU identifiers, avoiding duplicate entries in Prima. Monitoring is built into the workflow to detect sync failures or attribute mismatches before they disrupt the order-to-cash process. This sequencing ensures Prima accurately processes sales orders and generates financial reports based on a single source of truth.
Secure orchestration for high SKU volumes
Leveraging IPaaS with ISO 27001 and SOC 2 and above security accreditations, Prima and Pimberly integrations are delivered securely and efficiently. Connecting ERP and PIM systems, IPaaS simplifies data exchange between Prima, Pimberly, ERP, and PIM, reducing manual effort and risk. The platform ensures compliance, scalability, and robust data protection, making integration straightforward and secure for businesses needing reliable connections between their core systems.
Surfacing sync failures and data drift
Standard sync logs often hide the quiet failures that erode margins. Data drift between Pimberly and Prima, such as a product attribute that updates in the PIM but fails to map to the ERP, leads to incorrect pricing and fulfilment errors. Our approach involves continuous monitoring that surfaces these exceptions before they compound. Instead of waiting for a customer complaint or a reconciliation gap, you receive alerts when validation rules are breached or a sync stalls. This visibility allows operations and ecommerce teams to address source-of-truth ambiguity in the catalogue before it impacts sales or creates a backlog of reconciliation debt in the finance department.
Defining departmental data ownership and workflows
Training focuses on how your ecommerce, operations, and finance teams own the data flow between Pimberly and Prima. We move beyond technical features to define the daily operating model: ecommerce manages enrichment in Pimberly, while finance monitors price consistency in Prima. Your team learns to identify and resolve exceptions, such as attribute mapping mismatches or failed catalogue updates, using alerts from the integration layer. We provide operational documentation that details who owns each data field and what to check during regular reconciliation. This ensures your staff can troubleshoot common data drift internally. Ownership is handed over clearly so that product launches remain on schedule and financial reporting remains accurate and consistent across both systems.
Catalogue governance and hypercare monitoring
Post-launch, our focus shifts to ongoing operational stability. We monitor the sync between Pimberly and Prima to catch catalogue errors or mapping failures before they disrupt your sales cycle. Support is about managing the integrity of the data that drives your business. We provide escalation for issues that affect product availability or financial reporting. Our team works with you to refine your operating model as your catalogue grows, ensuring that the connection remains sufficient to handle increasing SKU complexity and high-volume periods.
Common failures
Incomplete data for new products
Operational impact: When a product synced from Pimberly is missing attributes required by Prima, such as a nominal code or tax category, it cannot be sold. This causes new product launches to fail, as Sales Orders containing the SKU are rejected. Operations and customer service teams then spend time manually correcting item records in Prima to unblock orders, which delays revenue and introduces risk of error.
Prevention / Action: The integration should enforce a 'Ready for Sale' status in Pimberly, acting as a gate before any product data is synchronised. This status should only be achievable when a checklist of mandatory Prima attributes is complete. The integration itself should validate this status before attempting to create the item record, placing any failures into an exception queue for the data team to review.
Inventory latency and overselling
Operational impact: If Prima is the master for stock, any delay in synchronising its 'available' quantity back to Pimberly creates a risk of overselling on connected sales channels. This results in cancelled Sales Orders, which disappoints B2B customers and damages trust. It also creates painful manual work for CX and finance teams who must process refunds and adjust inventory journals to correct the stock record.
Prevention / Action: Establish Prima as the single source of truth for stock levels. The integration should poll Prima's inventory records on a frequent schedule, pulling the correct 'available to sell' figure, not just the 'quantity on hand'. This logic must account for any stock allocated to existing but unfulfilled Sales Orders. A monitoring process should be in place to alert operators if the time since the last successful stock sync exceeds a defined threshold.
Incorrect logistics data halting dispatch
Operational impact: Pimberly is the correct source for logistics data like weights, dimensions, and commodity codes, but this data is operationally critical in Prima for fulfilment. If an Item record is missing this data, the fulfilment team cannot generate shipping labels or create commercial invoices for export. This halts the dispatch process for specific orders, creating a backlog in the warehouse and delaying delivery to the customer.
Prevention / Action: Make all logistics-related fields mandatory in Pimberly for any product before it can be synchronised. The integration needs to explicitly map these attributes to the correct fields on the Prima Item record. These fields in Prima should be made read-only for general users to establish Pimberly as the master and prevent manual changes from causing data drift between the systems.
Mismatched units of measure
Operational impact: A common failure occurs when Pimberly defines a product's 'base' unit (e.g., 'Each') differently from how Prima expects to trade it (e.g., in 'Cases' or 'Packs'). This mismatch leads to incorrect stock consumption, pricing errors on Sales Orders, and confusion for the fulfilment team picking the goods. Finance teams then face significant challenges reconciling inventory valuation and the cost of goods sold.
Prevention / Action: Ensure a unit of measure (UOM) mapping layer is designed into the integration. This should translate the base unit from Pimberly into the required purchasing or selling units in Prima, including the correct conversion factors. This mapping should be owned by the data governance team and validated before any new product or supplier is introduced to prevent inconsistent Item records being created.
Frequently asked questions
If Pimberly is our product master, how does new product data get into Prima?
When a product is approved in a Pimberly workflow, the integration creates the Item Record in Prima. This carries over SKUs, descriptions, and attributes. We use standard import methods to ensure Prima’s internal audit trails and search indexing remain intact.
What happens when we update a product price in Pimberly?
Updates are synced to the Item Record in Prima on a defined schedule. This ensures Sales Orders reflect current catalogue data and prevents sales teams from selling at outdated prices, which would otherwise create reconciliation debt for finance.
Does all product data in Prima come from Pimberly?
Pimberly owns enrichment and marketing attributes, while Prima remains the master for operational data like live inventory and cost of goods. Ownership boundaries must be clearly defined; for example, changing a product's primary category in Prima after it has been synced can lead to metadata mismatches.
Where do product syncs between a PIM and an ERP typically go wrong?
Attempting to sync very large media files directly via API often causes system timeouts. A more stable path involves Prima retrieving assets via hosted links. Additionally, failing to map unique identifiers accurately during updates can cause the ERP to create duplicate SKU records instead of updating the existing item.