Stokly ERP and Ometria
Integration Agency & Consultants
Operational data gaps between Stokly ERP and Ometria often lead to inflated Customer Lifetime Value (CLV) and irrelevant marketing segments. When refunds processed in the ERP fail to reflect in the ESP, your marketing spend is directed at inaccurate revenue signals. We connect Stokly to Ometria to ensure your customer engagement platform is driven by filtered, operational reality. This integration stops revenue leakage by synchronising precise order statuses, channel attributions, and refund data, giving your marketing team a trustworthy foundation for personalised customer journeys.
Auditing data gaps and operational inefficiencies
We connect your Stokly ERP and Ometria quickly, ensuring your ERP and ESP work together for better results. Our consulting services are valuable because our system audit uncovers inefficiencies and integration gaps between Stokly ERP and Ometria, enabling both our consultants and your team to take decisive action. This helps your ERP and ESP ecosystem run efficiently, so you can deliver a great customer experience. Our audits provide the insights needed to keep your technology stack robust and your business operations smooth.
Solution Design
The design for this integration prioritises Stokly ERP as the operational system of record, ensuring Ometria consumes validated data for customer engagement. We define the customer master and order history as the primary data objects, typically opting for frequent updates for transactional events while managing complex attribute syncs to maintain system stability. A key trade-off involves synchronisation timing. While rapid updates power immediate personalisation, we ensure Stokly ERP has processed the logic of an order before it triggers a campaign journey. This sequencing prevents marketing communications from firing before an order is fully confirmed in the ERP. This design ensures your marketing team works from accurate revenue data while operations maintains control over the order lifecycle through Stokly. Finance can trust campaign ROI because it is based on confirmed ERP orders rather than initial storefront checkouts.
Mapping transactional events and record ownership
Data flows from Stokly ERP to Ometria to ensure customer engagement is driven by operational reality. Stokly acts as the system of record for transactional data, including order details and fulfilment status. we implement rules to govern when a customer record is updated in Ometria, ensuring marketing consent and specific attributes are synchronised. Monitoring is embedded to detect when data fails to sync before it affects your customer segments. This sequencing ensures Ometria triggers campaigns based on confirmed operational events, maintaining data integrity across the customer lifecycle and protecting marketing accuracy. Order status changes trigger updates to ensure personalisation reflects recent purchases.
Orchestration via secure and compliant middleware
Leveraging IPaaS with ISO 27001 and SOC 2 and above security accreditations ensures secure, efficient integration between Stokly ERP and Ometria, supporting both ERP and ESP requirements. Using an IPaaS platform simplifies connecting Stokly ERP with Ometria and other ESPs, automates data flows, and reduces manual effort, while maintaining robust compliance. This approach delivers reliable, scalable integrations and protects sensitive business data as a minimum standard.
Surfacing synchronisation exceptions and data drift
Standard dashboards often mask the slow drift of data inaccuracies between Stokly ERP and Ometria. We provide visibility into the specific exceptions that matter, such as failed customer updates or mismatched order records. When hidden issues compound, your marketing automation can fire on incorrect triggers. We surface these failures early so your team can resolve errors before they impact campaign performance. Rather than wondering if the customer data is accurate, you are alerted when the synchronisation process encounters an exception that requires attention.
Operational handover and daily health checks
Handover ensures your ecommerce, marketing, and operations teams own the daily health of the data flow between Stokly ERP and Ometria. We define clear ownership for customer record updates and transactional event mappings. Your team learns to perform daily checks on synchronisation health and weekly reviews of data accuracy to prevent reconciliation debt. Training is anchored in your specific configuration, ensuring teams recognise the source of truth for customer attributes and order statuses. We provide operational documentation written for the people running the business, not a technical archive for IT. This manual serves as a live reference for resolving common data exceptions and maintaining campaign relevance as your catalogue and customer base grow.
Ongoing governance and structural mapping updates
We provide ongoing support to prevent operational drift between Stokly ERP and Ometria. This includes monitoring for instances where transactional data batches or fails silently under peak load. When exceptions occur, such as a rejected refund event or a mismatched channel ID, we manage the resolution and update the structural mapping as your Stokly setup evolves. Our support ensures your marketing segments are always built on audited, reconciled data rather than stale synchronisation paths.
Common failures
Delayed stock level synchronisation
Operational impact: When Stokly's stock levels are not pushed to Ometria in a timely manner, campaigns can promote items that are already out of stock. This results in wasted marketing spend, a poor customer experience, and inaccurate performance data inside Ometria. The customer service team is left to manage the fallout from overselling, while attribution for campaign revenue becomes unreliable.
Prevention / Action: Define Stokly as the absolute source of truth for all inventory availability. The integration should use scheduled or trigger-based updates to push SKU-level stock changes from Stokly to Ometria's product catalogue. Design the integration to handle high-frequency updates during peak trade and implement monitoring to alert the operations team if syncs fail or fall behind schedule.
Incomplete or mis-mapped refund data
Operational impact: If returns processed in Stokly are not correctly reflected in Ometria, customer lifetime value becomes inflated and segmentation is corrupted. The marketing team may target a high-value customer with VIP messaging just after a significant return, damaging trust. This creates a disconnect between the financial reporting in Stokly and the revenue figures visible in Ometria, complicating reconciliation.
Prevention / Action: The integration's data mapping must explicitly handle Stokly's refund and credit note objects, converting them into a format Ometria can ingest against the original sales order. This ensures refunded amounts correctly decrement the customer's value and remove the purchased items from their profile. This alignment is critical for both accurate financial tracking and relevant customer segmentation.
Product catalogue and SKU mismatches
Operational impact: If SKUs from Stokly sales orders do not perfectly match the product records in Ometria, all associated revenue and behavioural data for that line item may be discarded. This leads to an incomplete view of product performance, customer purchase history, and campaign effectiveness. Merchandising and marketing teams cannot trust the data to run replenishment alerts, Back in Stock flows, or product-specific campaigns.
Prevention / Action: Enforce a strict process where Stokly is the master source for all product information, especially the SKU. The integration logic must include exception handling to flag and quarantine any sales order lines containing a SKU that is not present in Ometria. This prevents silent data loss and provides a clear workflow for the operations team to correct data anomolies in either system.
Frequently asked questions
What is the correct way to manage product data between Stokly and our ecommerce platform to ensure Ometria receives accurate information?
Stokly ERP should be the master system for all SKU and product variant data. If a product is updated directly on the sales channel, its link to the Stokly item record can break, preventing accurate sales order and stock data from flowing to Ometria. This failure means customer segments in Ometria can be built on incorrect product data, impacting campaign performance.
How does Stokly ERP keep Ometria updated with stock levels for back-in-stock notifications?
Stokly’s inventory level is typically updated based on a 'Despatched' status from a connected warehouse system, which decrements the final stock count. If this trigger fails, Stokly’s stock record becomes inaccurate, and Ometria will hold incorrect availability data. As a result, 'back in stock' campaigns could either fail to trigger or be sent for items that are not actually available.
If our warehouse sends a tracking number, how do we ensure it reaches the customer via an Ometria email?
The tracking number must first be successfully received by Stokly ERP from your fulfilment system before it can be synchronised with Ometria. A common failure occurs when an invalid tracking number format is rejected by Stokly, breaking the data flow. This means Ometria never receives the data required to trigger an 'order shipped' email, which can increase 'where is my order?' support tickets.
What is the typical flow of customer and order data between Stokly ERP and Ometria?
In most implementations, Stokly ERP acts as the operational system of record, centralising customer and sales order data from all channels. This consolidated data is then pushed to Ometria to build rich customer profiles for segmentation. This process ensures marketing campaigns in Ometria are built using a complete purchase history, not partial data from a single storefront.