AI co-pilot for ERP & production planning

Context

Dekali sells management software to small and mid-sized Italian manufacturers. Sales, production planners and procurement spoke through the system but mostly worked around it — long email threads, spreadsheets, weekly meetings to figure out what materials were where and which order to start next. The brief: make the ERP itself the answer.

LLM Assistant

An LLM-based assistant integrated into the operational flows of the company for handling internal requests about quotations, orders, materials and deliveries. Integrated inside business applications via .NET backend services — simplifying communication between sales and production departments and reducing response times and coordination errors.

Raw-material prediction

A predictive model for raw-material estimation, capable of analysing historical data, budget constraints and supplier contracts to propose the most efficient supplier, quantity and price — and forecast delivery times. The model's results are exposed via .NET APIs and consumed through web interfaces.

RNN phase & cost forecast

Implementation of Recurrent Neural Network (RNN) models to predict production phases and the associated cost trajectory of an in-progress job. Provides operators and managers with dynamic guidance on processing sequences. Visualisation built in Angular dashboards (HTML + CSS).

Reinforcement-Learning scheduler

Application of Reinforcement Learning to production planning, taking into account operator skills, priorities and machine availability to generate dynamic plans in real time. The plans are visualised and managed through web interfaces built in Angular.