Sparklayer B2B and Relewise
Integration Agency & Consultants
Operational friction grows when B2B buyers have to navigate a generic catalogue to find their specific contract items. As SKU counts and customer-specific price lists expand, the effort required to guide buyers to the right products can lead to high bounce rates for key accounts. We connect Sparklayer B2B and Relewise to ensure that the product discovery layer respects the visibility rules and pricing structures managed in your B2B portal. This ensures that recommendations and search results are always relevant to the logged-in buyer's specific agreement.
Auditing B2B segments and data gaps
We connect your Sparklayer B2B and Relewise integration swiftly, supporting Ecommerce businesses to deliver outstanding Personalisation. Our consulting services are invaluable, with our system audit uncovering inefficiencies and integration gaps across platforms like Sparklayer B2B and Relewise. This empowers your team to take decisive action, ensuring your Ecommerce tech ecosystem runs efficiently. Our audits enable Personalisation strategies to work effectively, helping you provide a superior customer experience and keep your technology aligned with business goals.
Solution Design
In this architecture, Sparklayer B2B serves as the source of truth for customer-specific pricing and catalogue permissions, while Relewise provides the behavioural context. A central design decision is the mapping of customer segments to ensure personalised results respect B2B visibility rules. We typically prioritise the flow of behavioural data to keep search results relevant. A common trade-off is choosing to sync complex pricing rules on a defined schedule rather than real-time to protect frontend performance, which may result in a slight lag for intra-day price updates in search results. This approach ensures ecommerce teams can manage dynamic merchandising while sales teams maintain control over contract-specific pricing.
Governing data flows and catalogue ownership
This integration establishes a clear ownership boundary where Sparklayer B2B acts as the authoritative master for customer groups, contracts, and product visibility rules. These B2B attributes flow to Relewise, ensuring the personalisation engine respects specific catalogue restrictions.
Data flows to Relewise on a defined schedule or trigger to maintain index accuracy. When a buyer logs in, their profile context is passed to Relewise to filter search results and recommendations. This separation of concerns ensures that Sparklayer manages the B2B logic while Relewise handles the behavioural context, ensuring that what a customer sees in a recommendation widget matches what they are permitted to buy in their B2B portal.
Orchestrating workflows via secure middleware platforms
Leveraging IPaaS with ISO 27001 and SOC 2 and above security accreditations enables secure, efficient integration of Sparklayer B2B and Relewise for Ecommerce and Personalisation. IPaaS simplifies connecting Sparklayer B2B and Relewise, supporting Ecommerce growth and advanced Personalisation, while ensuring data protection. The platform’s centralised approach reduces risk, increases agility, and guarantees compliance, making integrations faster and more reliable.
Monitoring synchronisation and price list accuracy
Standard dashboards often miss the subtle failures that degrade B2B conversion. Visibility here means knowing when a Sparklayer B2B customer segment fails to update in Relewise, or when a price list change is not reflected in search results. These hidden issues can lead to a fragmented experience where customers see products they cannot order. We monitor these synchronisation points to surface exceptions early. We focus on the health of the relationship between buyer context and catalogue visibility, ensuring your team spends time on strategy rather than troubleshooting data mismatches.
Equipping teams to manage personalisation logic
Ecommerce and CX teams must own the logic that connects B2B buyer behaviour to product discovery. Handover focuses on making these teams confident in managing how Sparklayer B2B configurations influence Relewise search and recommendation results. We provide an operational manual that defines what to check on a regular schedule to ensure personalisation rules do not conflict with complex B2B contract pricing. Your team learns to identify if customer context is failing to sync, allowing for correction before it impacts the buyer experience. This documentation is a practical guide for running the business, not a technical archive for IT.
Maintaining contract visibility and sync health
Post-launch, we provide ongoing operational ownership by monitoring the synchronisation between Sparklayer B2B and Relewise for exceptions in customer group mapping or contract pricing logic. We track integration behaviour to catch synchronisation gaps before they impact B2B conversion. Your team has access to a defined escalation path, ensuring that issues affecting buyer discovery or product visibility are prioritised according to their commercial impact.
Common failures
Restricted product leakage in search results
Operational impact: B2B buyers see products in Relewise search or recommendation blocks that their contract terms actually prohibit them from purchasing. When Sparklayer catalogue permissions are ignored by the discovery layer, it creates a friction point where a customer adds a restricted item to their basket only for Sparklayer to block it at checkout. This results in discarded carts and an influx of support tickets from frustrated account managers.
Prevention / Action: Treat Sparklayer customer-group rules as the source of truth for product visibility. Every recommendation request should pass the current user context so Relewise filters results before they reach the frontend. The product feed must map these B2B-only attributes into the Relewise index rather than pushing a generic B2C catalogue.
Pricing drift in recommendation blocks
Operational impact: A buyer sees one price in a Relewise widget, but the Sparklayer checkout shows a different contract price. This pricing mismatch erodes buyer trust instantly. If a buyer manages to checkout with an incorrect price, finance is often forced to manually adjust Sales Orders to match agreed B2B margins, creating significant operational drag.
Prevention / Action: Set Sparklayer as the master for all customer-specific pricing logic. The integration should either fetch pricing in real-time or use a reliable sync to push Sparklayer price-list updates into the Relewise index. Avoid long caching periods for price data without a reliable invalidation trigger.
Inventory blind spots during peak
Operational impact: Relewise promotes items that may be in stock for consumer channels but are unavailable in the specific warehouse units serving B2B contracts. This leads to "out of stock" errors late in the purchase journey. For high-volume buyers, this can delay entire multi-line shipments if a single promoted item is actually unavailable for their account.
Prevention / Action: Segment inventory data sent to Relewise by the same logic Sparklayer uses for B2B stock pools. The sync must reflect the B2B-specific stock levels. Configure Relewise rules to deprioritise or hide SKUs when the specific B2B available-to-sell quantity drops below a defined buffer.
Frequently asked questions
How do we stop Relewise showing products or prices that a B2B customer isn't allowed to see in Sparklayer?
The integration must be configured so that Relewise personalisation logic always respects the B2B rules managed in Sparklayer. User recommendations are filtered against the specific price list and collections assigned to the logged-in customer record. This prevents Relewise from showing a product a user isn't permitted to buy, or displaying a standard price for a SKU where that customer has specific contract pricing, which would otherwise break buyer trust.
What is the source of truth for product and pricing data in this integration?
Sparklayer is the source of truth for the core B2B product catalogue, including all pricing, customer-specific assignments, and complex rules managed in price lists or metafields. Relewise consumes this data but does not own it; its role is to analyse user behaviour and apply personalisation. This ensures that every product recommendation Relewise generates is always based on the correct and authoritative B2B data managed in Sparklayer.
How does Relewise get enough useful signal from B2B buyer behaviour in Sparklayer to make relevant recommendations?
The integration surfaces B2B-specific buying signals, such as viewing certain product collections, repeat orders for the same SKU, or activity in quote-building tools. Relewise uses this detailed context from Sparklayer, often enriched with data from a customer record, to build a relevant profile that goes beyond simple page views. This allows it to suggest useful and specific cross-sells, like compatible parts or relevant bulk-buy alternatives.
Can this integration help reduce the time our sales team spends helping customers find the right products to re-order?
Yes, by surfacing relevant products based on past behaviour, the integration reduces friction in the B2B buying process. When Relewise analyses a customer's order history from Sparklayer, it can proactively display their most frequently purchased SKUs or accessories related to a recent large purchase. This empowers customers to self-serve on routine re-orders, reducing their dependency on the sales team for simple cart building.