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Case studies

Food Industry

Case 3: AI-Accelerated Modernization for a Multinational Food Sector Company

Refactored legacy logistics systems into elastic cloud-native architectures using AI-accelerated pipelines and GenAI agents, compressing modernization cycles from months to weeks.

Scale: Multinational Region: Multi-region
Cloud-Native GenAI AI-Augmented Engineering Legacy Modernization

AI-Accelerated Modernization for a Multinational Food Sector Company

Sector: Food Industry | Scale: Multinational | Cloud: Cloud-Native


The Operational Challenge

Internal logistics and decision-making systems operated on Legacy technologies, causing operational sluggishness and high maintenance costs.

Architectural Solution (Ficentia Approach)

Cloud-Native Evolution: Leadership in the complete End-to-End refactoring of monolithic systems into modern, elastic cloud-native architectures.

Augmented Engineering: Deep integration of Artificial Intelligence assistants into development pipelines to accelerate the translation and refactoring of legacy code.

Corporate Generative AI: Injection of GenAI agents directly into corporate operational processes.

Business Impact

Drastic compression of Time-to-Market, reducing modernization cycles from months to weeks, and a substantial acceleration in the speed of the client’s logistical decision-making.

Key Technology Stack

  • Monolithic to Cloud-Native refactoring
  • AI-accelerated development pipelines
  • GenAI agents integrated into operational processes
  • Elastic and scalable architectures

AI-Powered Custom Software Engineering