Context

A leading online home & living retailer operating across multiple European markets was facing increasing complexity in managing data flows between its ERP, PIM, eCommerce platform, CRM, and external marketplaces. Although an integration platform had been implemented to centralize data exchange, the client experienced recurring reliability issues, slow product updates, and a growing reliance on manual interventions.

The impact was clear: missing or outdated product listings, inaccurate stock levels, inconsistent pricing — all leading to revenue loss and limited scalability.

Objectives

• Restore reliability and speed in synchronizing data across ERP, PIM, eCommerce, CRM, and marketplace systems.
• Reduce manual tasks caused by data sync errors or limitations.
• Build a scalable, future-proof integration architecture.
• Improve time-to-market and product data quality for online channels.

Our Approach

Hive to Hive conducted a full diagnostic of the integration landscape, working closely with both business and technical teams. Our intervention included:

• Mapping actual data flows (products, prices, stock, orders, customer data) and pinpointing inefficiencies.
• Rationalizing connectors by removing redundancies and optimizing data transformation logic.
• Clarifying the role of each system in the data governance model (e.g., defining golden records).
• Simplifying the integration architecture while increasing its robustness and scalability.
• Implementing clear monitoring and business-relevant alerts to regain control over errors and system health.

Key Outcomes

• 35% faster time-to-market for new product launches
• Fewer data sync errors, leading to better conversion and reduced cart abandonment
• 70% reduction in manual interventions linked to integration failures
• Improved product consistency and trust from both customers and internal teams
• A modern, streamlined architecture, ready to support future expansion and new sales channels

In Summary

By rethinking the entire integration strategy, Hive to Hive turned a technical bottleneck into a business enabler. With optimized flows, simplified architecture, and restored trust in data, the company was able to accelerate its growth, strengthen customer satisfaction, and confidently scale its operations.

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