Hive to Hive

Turning legacy into leverage for a key Industry player

We modernized an industrial group’s IoT and production system integrations, reducing human errors by 80%, improving demand forecasting with external data, and enhancing traceability — speeding up time-to-consumer and enabling smarter, connected manufacturing.

Context

In the industry sector, precision, responsiveness, and traceability are essential. A major player in the processing and distribution of manufactured products faced growing complexity in managing its factory-floor systems, ERP, and external data sources like weather services. Manual interventions, fragmented data, and limited real-time visibility were slowing operations and introducing risk.

Objectives

Reduce human errors in operating connected manufacturing equipment.
Integrate external signals (e.g. events, demand forecasts) to better anticipate production needs.
Improve end-to-end traceability from raw material to final delivery.
Shorten time-to-consumer by streamlining production-to-logistics flows.

Our Approach

Hive to Hive led a full-scale modernization of the client’s integration landscape:

Connected and standardized data from IoT machines, enabling real-time operational visibility.
Incorporated contextual data sources (like news APIs using IA to digest) into production planning algorithms.
Automated system-to-system exchanges, reducing manual input and operational risk.
Implemented traceability logs and audit trails throughout the production lifecycle.
Deployed a future-proof integration backbone, scalable and ready for Industry 4.0 use cases.

Key Outcomes

80% reduction in human error on critical production tasks.
Improved demand anticipation, by integrating real-time external data into planning models.
25% faster time-to-consumer, thanks to smoother transitions between manufacturing and logistics.
Full product traceability, available at any step of the process.
A modern integration architecture, flexible and ready to scale with new technologies and partners.

In Summary

By rethinking its integration strategy around automation, data intelligence, and operational agility, this industrial group built a stronger, smarter foundation for growth. Hive to Hive was a key partner in designing and delivering this transformation — bridging the gap between factory operations and business performance.