Fully Automated Supply Chain: case study LogiFlow Trading Group GmbH
Fully automated supply chain — 96% forecast accuracy and 30% lower storage costs.
The project as a short film
Transcript
Demand forecasts are now 96 percent accurate. They used to sit at 68.
A trading group carries more than 25,000 items, from mini pallets to full containers. All of it was planned by hand. Some warehouses overflowed while other items ran out.
We built AI agents that run replenishment from demand all the way to the shelf. They make the decisions themselves. Only customs declarations go to a staff member.
The agent forecasts demand and checks it against current stock.
When an item drops below its reorder point, it collects offers from several suppliers and weighs price, quality and reliability.
The order goes to the best supplier. Depending on volume, the agent picks pallet, truck or container. It chooses the Incoterm with the lowest total cost and books the carrier. A staff member fills in the customs declaration and hands it back to the system.
If a shipment runs late, the agent checks by product group whether a special express order is needed and possible, so stock never hits zero.
Goods are checked on arrival. If quality falls short, a complaint goes out and another supplier ships a replacement.
Actual usage feeds back into the next forecast.
Storage costs dropped 30 percent. Stockouts were cut in half, from 12 to 6 percent. And the planning team has time again for the cases that need judgment.
Still planning stock by hand? Then write to us. Sophera automates everything that gets in your way.
Challenge
LogiFlow Trading Group managed an assortment of 25,000+ items with delivery from mini-pallet to full container load. Manual ordering processes and inaccurate forecasts led to overstock and stockouts.
- 25,000+ items manually managed
- Forecast accuracy only 68%
- 12% stockout rate
- High storage costs from overstock
Our Solution
We implemented a fully autonomous AI-driven supply chain that autonomously controls everything from demand forecasting through ordering, goods receipt and picking to delivery. For each shipment the agent picks the Incoterm with the lowest total cost and books the carrier. Customs declarations go to a staff member, who hands them back to the system. If a shipment is running late, the agent checks by product group whether an express special order is needed and possible, so stock never hits zero.
The workflow
Fully Automated Supply Chain
From demand forecasting to delivery — the entire supply chain runs autonomously with AI control.
- AI step
- Work step
- System
- Decision
- Exception
Tap a step to take a closer look.
Results
- 96%Forecast Accuracy
Prediction accuracy
- 30%Storage Cost Reduction
Reduction in storage costs
- 99.2%Delivery Reliability
On-time delivery
- 50%Fewer Stockouts
Reduction in stockouts
Before / After
| Metric | Before | After |
|---|---|---|
| Forecast accuracy | Before: 68% | After: 96% |
| Stockout rate | Before: 12% | After: 6% |
| Storage costs | Before: Baseline | After: -30% |
| Delivery reliability | Before: 87% | After: 99.2% |
Client Testimonial
From demand forecasting to delivery, our entire supply chain now runs autonomously. The AI optimizes 25,000 items better than a team of 20 dispatchers ever could.
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All projects and figures shown are from real client engagements. Except for Ob Plus, names and company names have been changed at our clients’ request.