Supply Chain Agent
Orchestrates the entire chain, synchronises sourcing, production and distribution, and arbitrates priorities in real time.
A network of intelligent agents covering planning, production, inventory, suppliers, customers and transport — and computing OTIF to make you more efficient and less costly.
ACG designs networks of specialised AI agents that collaborate like a real Supply Chain team. Each agent masters one domain, shares its analysis with the others and proposes concrete decisions: fewer stockouts, right-sized inventory, reliable deliveries and controlled costs.
Nine specialised agents that synchronise to cover the whole chain, from raw material to the end customer.
Orchestrates the entire chain, synchronises sourcing, production and distribution, and arbitrates priorities in real time.
Builds the master production schedule (MPS) based on demand, capacity and machine constraints.
Tracks shop-floor execution, detects deviations, line stoppages and delays to react immediately.
Translates orders into production orders based on what must be produced and prioritises them intelligently.
Monitors raw material levels, computes reorder points and anticipates shortages.
Manages finished goods stock and balances availability with holding costs.
Translates replenishment needs into clear requests to raw material suppliers.
Interprets and translates customer demand for finished goods into usable forecasts for production.
Coordinates carriers to deliver products at the best cost, to the right place and on time.
Agents compute and track the key KPIs to make your operations more efficient and less costly.
Measures the share of complete, on-time deliveries to make customer service reliable.
Computes the percentage of orders (or lines) delivered on time and in full versus total demand.
Computes the sales (or consumption) to average stock ratio to measure how fast inventory moves.
Computes the share of SKUs or orders out of stock over the period to anticipate shortages.
Compares theoretical stock to physical stock to measure inventory precision (variance in %).
Computes lines, parcels or units handled per hour/operator to steer logistics performance.
Computes the total logistics cost to revenue ratio to track the weight of logistics.
Computes the average time between order receipt and shipment to reduce lead times.
Computes the share of absence hours or days versus scheduled working time to steer workforce availability.
A concrete demo: from your files to an actionable analysis report.
You upload your Excel/CSV files (inventory, orders, production, transport).
The AI agents analyse and cross-reference the data, then compute the metrics (OTIF, costs…).
Each agent produces optimisation recommendations in its domain.
You receive a clear, concise and directly actionable email report.
A demonstration of the multi-agent orchestration offered by ACG. Adaptable to your ERP, WMS and TMS.
Let's discuss your context and the objectives of your interim management mission.