Supply Chain Optimization

Problem

Flux Logistics relied on spreadsheets to forecast demand, which led to overstock, missed deliveries, and rising costs.

Research

We reviewed historical demand, routing data, and warehouse operations to measure where forecasting errors were costing the most.

Solution

Orvanta implemented AI-assisted demand forecasting and optimized routing, integrated with the client’s existing systems.

Result

Forecasts are now more accurate, inventory is leaner, and deliveries arrive on time more often.

• 40% reduction in logistics costs.

• 30% less excess inventory.

• 95% on-time delivery rate.