Case Study: Conseil 2.0 achieves 15% logistics cost reduction and 10–40% CO2 cuts by optimizing its warehouse network with anyLogistix

Supply chain modeling and design for a canadian agribusiness

Conseil 2.0, a supply-chain strategy and implementation consultancy, needed to perform a full network assessment for a Canadian agribusiness supplier (≈7,000 SKUs, 19 production sites, 6 warehouses, ~10,000 clients). Their challenge was to identify the optimal number and locations of sites, test potential warehouse closures, and measure impacts on service level, costs and emissions. To support this work they used anyLogistix network-analysis capabilities to model baseline flows, run greenfield and flow-path scenarios, and evaluate closure options.

Using anyLogistix, Conseil 2.0 built a baseline, ran greenfield and capacity-constrained scenarios, and tested 2–4 “to be” options per warehouse, including cross-dock and route changes. The analysis showed potential to halve the number of locations in some areas, achieve ~10% transportation savings by reassigning clients to closer DCs (up to 30% without throughput constraints), and realize an overall ~15% reduction in logistics costs when combining flow optimizations and targeted closures. Site-level results included transport cost reductions (e.g., Warehouse #1: ~11%) and CO2 decreases (Warehouse #1: 30–40%; Warehouse #2: 10–20%), providing quantifiable support for the recommended consolidation and route-optimization plan.

Conseil 2.0