Microsoft Dynamics 365 and Pimberly
Integration Agency & Consultants
Our AI-powered integration delivery is guided by operators who have managed complex product data firsthand. We connect Pimberly and Microsoft Dynamics 365 to establish a single, correct view of your product information. This trusted data foundation allows your teams to launch new channels and products faster, without risking costly data-related delays.
Auditing your product data architecture
We connect Microsoft Dynamics 365 and Pimberly quickly, ensuring your ERP and PIM systems work together efficiently. Our consulting services are invaluable, with our system audit providing a thorough review of your ERP and PIM integrations, uncovering inefficiencies and gaps. This enables both our consultants and your team to take decisive action, keeping your Microsoft Dynamics 365 and Pimberly tech ecosystems running smoothly. As a result, you can deliver a consistently excellent experience to your customers.
Solution Design
We design the Microsoft Dynamics 365 and Pimberly integration with clear ownership of the product lifecycle. Pimberly typically acts as the primary source of truth for enriched marketing data and digital assets, while Dynamics 365 owns operational attributes such as cost price and SKU status. A critical design decision involves the frequency of the product sync. We often recommend a scheduled batch approach for full product catalogues to ensure data integrity, while reserving real-time updates for critical changes like price or availability status. This trade-off accepts a slight lag in intra-day enrichment in exchange for a highly stable and predictable synchronisation that does not overwhelm the ERP. The final design ensures finance works from validated data in Dynamics 365 while ecommerce teams distribute high-quality content via Pimberly.
Automating the product master lifecycle
The integration establishes a bi-directional flow where Microsoft Dynamics 365 provides the base SKU and operational data, while Pimberly acts as the enrichment engine for marketing and channel-specific content. We sequence the flow so that new items created in the ERP are automatically surfaced in the PIM for enrichment. Data integrity is maintained through strict mapping rules, ensuring that mandatory fields like dimensions and weights are validated before they move between systems. Monitoring is embedded into the process to detect enrichment bottlenecks or sync failures before they reach your storefronts.
Orchestrating secure enterprise data flows
Leveraging IPaaS with ISO 27001 and SOC 2 and above security accreditations enables secure, efficient integration between Microsoft Dynamics 365 and Pimberly, connecting ERP and PIM systems. This approach simplifies data flow between Microsoft Dynamics 365 and Pimberly, ensuring ERP and PIM data is accurate and protected. IPaaS platforms offer centralised management, automation, and compliance, reducing risk and complexity for businesses seeking robust, secure integrations.
Monitoring sync status and data health
Clear visibility and reporting are vital when integrating Microsoft Dynamics 365 with Pimberly, as they ensure ERP and PIM data accuracy, rapid issue identification, and informed decision-making. Microsoft Dynamics 365 and Pimberly integrations require robust monitoring to maintain ERP and PIM reliability. Cogent2 delivers this through real-time dashboards, automated alerts, and detailed reporting, giving you confidence in your data and the ability to address issues promptly.
Handing over the operational model
Internal teams must own the product data lifecycle to maintain system health. We hand over a defined operating model to your ecommerce, operations, and finance teams, ensuring they understand where data originates and how it moves. Training focuses on regular checks within Pimberly for enrichment gaps and reviews of the sync status into Dynamics 365. Rather than technical manuals, we provide operational documentation that explains how to read alerts from the integration layer and who owns specific exception types, such as mapping errors or missing mandatory attributes. This approach ensures that when a sync fails or data is incomplete, your team knows how to intervene.
Managing post-launch governance and drift
Support covers Microsoft Dynamics 365 and Pimberly, delivering ERP and PIM expertise for business continuity and peace of mind. With on-hand technical knowledge, issues in Microsoft Dynamics 365 ERP or Pimberly PIM are resolved quickly, ensuring your systems remain reliable. You benefit from ongoing support, regular audits, and proactive monitoring, so your ERP and PIM platforms are always maintained and your business stays resilient.
Common failures
Incomplete product record synchronisation
Operational impact: If product attributes from Pimberly are not fully mapped to Microsoft Dynamics 365, new SKUs are created with missing data. This can block sales order creation or prevent items being released to the warehouse because critical fields like item model group are null. The master data and finance teams then spend significant time manually correcting item records directly in the ERP.
Prevention / Action: The integration project must start with a rigorous field mapping specification, co-owned by merchandising (Pimberly) and finance (Dynamics 365). The integration logic should validate that all mandatory ERP fields have a value before attempting to create or update an item. A clear source-of-truth model is essential to prevent conflicting updates, where Pimberly owns enrichment data and Dynamics owns core operational data.
Unit of Measure conflicts
Operational impact: When the base unit in Pimberly (e.g. 'Each') mismatches the transactional unit in Dynamics 365 (e.g. 'Case of 12'), it creates widespread data errors. This causes incorrect stock valuations on the balance sheet and errors in purchase order costing. At month-end, the finance team faces major reconciliation work to align inventory value and cost of goods sold.
Prevention / Action: Establish a single source of truth for the base 'Unit of Measure' (UoM) before starting the integration build. The integration logic must be designed to correctly reference and use the UoM conversion table within Dynamics 365. Any pricing data synchronised from Pimberly must be explicitly linked to a specific UoM to avoid ambiguity in sales or purchase documents.
Incorrect variant and hierarchy handling
Operational impact: Product variants for size or colour from Pimberly can fail to sync correctly, creating duplicate, standalone products in Dynamics 365 instead of a structured item with variants. This inflates the active SKU count, complicates inventory management, and undermines demand planning. Customer service teams then struggle to process returns because the SKUs on sales orders do not match the expected item structure in the ERP.
Prevention / Action: The integration's data model must explicitly map Pimberly's parent-child product structure to the corresponding item dimension or variant framework in Dynamics 365. Ensure data synchronisation runs in sequence, creating the parent style record before attempting to sync its child SKU variants. Implement monitoring to detect and flag any orphaned variants created without a valid parent relationship in the ERP.
API rate limiting from bulk updates
Operational impact: When a large number of products are updated in Pimberly at once, such as during a re-categorisation project, it can trigger a flood of individual API calls to Dynamics 365. This often results in the ERP connection being throttled, creating a long queue of failed updates and data falling out of sync. This can lead to incorrect pricing or product information being shown on downstream sales channels that depend on Dynamics 365 data.
Prevention / Action: Where possible, design the integration to use bulk update APIs rather than sending single updates for each product. The integration process should use a managed queue to process updates in controlled batches, respecting the published API rate limits for the Dynamics 365 instance. A delta-sync approach, which only sends records that have changed, is preferable to transmitting the entire catalogue on each run.
Frequently asked questions
Which system should be the source of truth for product information, Pimberly or Dynamics 365?
In this operating model, Pimberly is the definitive source of truth for enriched product data such as descriptions, specifications, and marketing assets. This information is then synchronised to create and update Item records in Microsoft Dynamics 365. Dynamics 365 then owns the operational and financial data for that item, like inventory levels and cost price.
We launch new products frequently. How does this integration support a fast new product introduction process?
A correctly configured integration accelerates launches by automating the creation of Item records in the ERP. When a new product is approved in a Pimberly workflow, the integration can automatically create the corresponding SKU in Microsoft Dynamics 365, ready for inventory and pricing rules. This removes the manual data entry step inside Dynamics 365, which often acts as a bottleneck and a source of data entry errors.
What happens if our units of measure for SKUs don't match between Pimberly and Dynamics 365?
Mismatches in the 'Base Unit of Measure' are a common cause of integration failure between these systems. If Pimberly defines a SKU in 'Packs' but the corresponding Item record in Microsoft Dynamics 365 is set to 'Eaches', any data synchronisation for that product will be rejected. This can halt updates to pricing or stock, causing significant data discrepancies for operational teams.
How do we prevent product data from becoming inconsistent across channels once synced from Pimberly to Dynamics 365?
This integration model establishes Pimberly as the master record for all channel-facing product attributes, which are then passed to Microsoft Dynamics 365. By ensuring Dynamics 365 and any connected sales platforms receive their data from this single source, you prevent data drift. For example, a description update in Pimberly propagates everywhere correctly, avoiding situations where an Item record has conflicting details across systems.