AI Powered integration with expert operators

Relewise and Brightpearl

Integration Agency & Consultants

At scale, personalisation becomes a liability if it loses its connection to inventory truth. Recommendations of a SKU that Brightpearl has already reserved for sales orders or marked as zero-availability cause high bounce rates and undermine customer trust. We align the Relewise index with Brightpearl stock levels, ensuring the recommendation logic respects available-to-sell reality rather than promoting items that cannot be fulfilled.

Castore
Lounge
Oliver Bonas
Green People
Tatty Devine
Cult
Auditing data gaps between systems

We connect your Relewise and Brightpearl systems, ensuring your ERP and Personalisation platforms work together efficiently. Our consulting services are invaluable, with our system audit uncovering integration gaps and inefficiencies between Relewise, Brightpearl, ERP, and Personalisation tools. This enables our consultants and your team to take decisive action, helping your technology ecosystem run smoothly and efficiently. As a result, you can deliver an outstanding customer experience and keep your business operations optimised for growth.

Solution Design

Architecture for Relewise and Brightpearl prioritises fulfilment reality over web data. We typically establish Brightpearl as the master for product availability, regional price lists, and inventory status. A core design decision involves pushing inventory changes to Relewise on a defined schedule, which prevents the engine from recommending SKUs that are already reserved for sales orders in the ERP. We commonly trade off the latency of batch updates for higher stability and easier reconciliation against Brightpearl price tiers. This approach ensures the ecommerce team promotes what the warehouse can ship. Finance closes off Brightpearl ledger data, while the personalisation engine serves recommendations grounded in current stock levels processed by the integration layer.

Syncing regional pricing and stock status

Brightpearl acts as the master for product, inventory, and price data, while Relewise consumes these feeds to serve real-time personalised content and search results. The integration maps multi-location inventory and status-based availability logic from the ERP directly to recommendation algorithms. This ensures that the engine only promotes SKUs that are physically available for fulfilment. We monitor the data journey to catch latency in stock-level updates, preventing cases where Relewise suggests items that Brightpearl has already marked as zero-availability or reserved for sales orders. Regional price lists managed in Brightpearl remain the source of truth for all personalised results.

Securing data with compliant middleware

Leveraging IPaaS with ISO 27001 and SOC 2 and above accreditations ensures secure, efficient integration between Relewise and Brightpearl, supporting ERP and Personalisation needs. IPaaS enables rapid, reliable connections, allowing Relewise and Brightpearl to deliver Personalisation and ERP data securely. The platform’s compliance with ISO 27001 and SOC 2 and above is the minimum requirement, providing peace of mind for data protection and regulatory standards.

Detecting record level synchronisation failures

Standard dashboards often mask the drift between Brightpearl inventory and Relewise visibility. Real monitoring involves knowing why an item is excluded from results. We surface record-level failures, such as SKUs with invalid price lists or inventory statuses that the recommendation engine cannot parse. Rather than waiting for high bounce rates or customer complaints, we detect synchronisation gaps early. This provides the operational intelligence needed to prioritise fixes based on commercial impact, such as identifying when high-traffic products are missing from recommendations because of an ERP mapping error.

Owning the Brightpearl product flow

Handover focuses on ecommerce and operations teams owning the data flow between Brightpearl and Relewise. We provide operational documentation explaining how product data originates in the ERP and surfaces in recommendation results. Teams learn to check daily synchronisation logs and respond to alerts from the integration layer, such as SKU mismatches or stock-sync delays. Ecommerce staff typically own the resolution of recommendation anomalies, while operations or finance manage underlying price list accuracy in Brightpearl. Training is anchored in the specific design decisions of your architecture, ensuring the team maintains control. Documentation is written as an operational reference for staff running the business, not a technical archive.

Monitoring for post go live drift

Support focuses on preventing operational drift between the ERP and the personalisation engine. We monitor for failed inventory updates and price list sync errors, identifying when product data diverges across systems. Escalation paths are defined so ERP data issues are resolved by operations while recommendation logic is managed by the ecommerce team. This oversight ensures that your search and personalisation results remain grounded in fulfilment reality and avoids the sync illusions that lead to broken storefront links.

Integration operating model

The operating model places Brightpearl at the center of the data ecosystem. Product enrichment and inventory adjustments happen in the ERP. These updates flow to Relewise, which processes the data alongside customer behaviour to serve recommendations. This means the ecommerce team manages strategy in Relewise while the operations team manages the physical truth in Brightpearl. By ensuring these systems are connected, the business avoids data silos where the personalisation engine operates independently of actual stock availability.

Common failures

Inventory latency and overselling

Operational impact: Relewise promotes SKUs that Brightpearl has already marked as zero-availability or reserved against sales orders. This damages customer confidence and inflates cart abandonment rates. It also creates excess work for customer service teams who must manage oversold order lines and communicate stock-outs.

Prevention / Action: The integration must treat Brightpearl as the source of truth for inventory levels. Synchronisation logic should be configured to run on a frequent, scheduled basis, pulling the correct 'on hand' stock figure for the relevant sales channel. Consider building a small stock buffer into the integration logic to mitigate timing risks between sync cycles.

Stale or incorrect price list recommendations

Operational impact: The personalisation engine may recommend products using a default retail price, ignoring customer-specific or regional price lists managed in Brightpearl. This is particularly damaging for B2B accounts, leading to checkout errors and requiring manual price adjustments on sales orders by the finance or sales teams.

Prevention / Action: Ensure the product data feed from Brightpearl to Relewise is structured to include all active price lists, not just a default value. The integration should map Brightpearl's price list IDs to the corresponding user context or segment in Relewise. Updates to Brightpearl price lists must trigger a corresponding data refresh for affected SKUs.

Inactive products shown in recommendations

Operational impact: Products set to an inactive or archived status in Brightpearl remain active within the Relewise product catalogue. This leads to customers clicking on recommendations that direct to dead product pages, which degrades user experience and search performance rankings over time.

Prevention / Action: The product synchronisation process must include the product status field from Brightpearl. Configure the integration to automatically remove or mark as un-purchasable any SKU in Relewise if its status in Brightpearl is anything other than 'active'. Schedule a periodic full catalogue reconciliation to catch any items missed by incremental updates.

Poor search relevance from inconsistent attributes

Operational impact: Product attributes such as brand, colour, or technical specifications are managed inconsistently across systems, corrupting the dataset used by Relewise. This degrades the quality of personalised recommendations and causes on-site search filters to show incorrect product counts or lead to zero-result pages.

Prevention / Action: Establish Brightpearl as the single source of truth for all core product attributes used for filtering and recommendations. The integration must map Brightpearl's custom fields or categories to the corresponding attribute schema in Relewise. Prevent manual product enrichment in the ecommerce platform to avoid data conflicts.

Frequently asked questions

How do we stop Relewise from recommending products that have just gone out of stock in Brightpearl?

The integration is configured to use available stock levels from Brightpearl. By ensuring Relewise sees the difference between total stock and items already allocated to orders, we prevent the promotion of SKUs that cannot be fulfilled.

We use different price lists in Brightpearl for different countries. Can Relewise handle this?

Yes. Brightpearl remains the source of truth for pricing. The integration maps your regional price lists to Relewise, ensuring customers see prices relevant to their specific storefront. This protects your margin and maintains consistency during checkout.

Our inventory is split across multiple locations in Brightpearl. Which stock level does Relewise see?

The integration typically aggregates inventory from specific Brightpearl warehouses assigned to your sales channels. This allows you to show stock based on what is actually available in the relevant regional warehouse, preventing customers from seeing stock that cannot be shipped to them.

What happens when a product is deleted in Brightpearl?

The integration is designed to ensure that when a SKU is removed from Brightpearl, a corresponding signal is sent to Relewise to deactivate that item. This prevents broken links in search results and ensures the recommendation index stays clean.

Why are my conversion rates poor when I already have a personalisation engine?

Poor conversion often stems from operational latency. If Relewise is not receiving timely updates, it may promote SKUs that Brightpearl knows are unavailable. This mismatch between recommendation and fulfilment reality causes customer frustration and leads to higher bounce rates.

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