AI across production, certification and commercial analysis — fresh produce
An international producer and marketer of fruit and vegetables wanted to introduce AI into the business without separating agricultural operations, certification requirements and commercial decision-making into unrelated technology projects.
The situation
The company operates across agricultural production and international sales, with information distributed between field operations, technical staff, certification records, commercial teams and market data.
Introducing isolated AI tools into individual departments would have created additional fragmentation.
The requirement was therefore to start with the business itself and identify where AI could genuinely support existing responsibilities and decisions.
The work
The implementation was structured around three connected areas.
Agricultural support provided access to relevant production knowledge and assisted staff with questions concerning crop practices and field operations.
Certification support helped organise and retrieve information connected with production standards, records and certification requirements.
Commercial analysis brought together market, sales and operational information to support management decisions involving customers, products, markets and international commercial opportunities.
The systems were developed around the company’s real workflows rather than introducing generic AI tools and asking staff to adapt their work around them.
The outcome
AI became part of the company’s working environment rather than a separate technology experiment.
Agricultural, certification and commercial teams gained faster access to relevant information while management obtained a broader analytical view across areas of the business that had previously been handled largely independently.
The implementation also established a practical framework for extending AI only where a clear business requirement exists.