Use cases
Here you find concrete examples of optimization problems that companies really do run into.
No invented numbers. Every figure here was measured, not estimated.
Grid topology optimization
Germany’s power grids are congested on most days of the year. Redispatch and compensation for curtailed generators cost around 1.6 billion euros in 2025, according to the Bundesnetzagentur. One option is to optimize the grid’s topology.
Open demo →Inventory optimization
Spreadsheet trend analysis is not wrong, but it runs into its limits fast. We show you, with clear examples, why planning under uncertainty is not a niche topic.
Open demo →Warehouse planning when the market turns
You keep a safety margin because forecasts miss. When the market turns, the margin that served you well costs a median 14.5% more a year than the plan Quicopt finds. Quicopt plans with the forecast error itself. We show it on 20 warehouse networks, in a notebook you can run yourself.
Open demo →Internet shopping optimization
Which items to order from which of many suppliers, and in what quantities, when every supplier has its own prices, shipping fees and free-shipping thresholds? Quicopt against the open-source solver CP-SAT on a real-world instance, with a notebook you can run yourself.
Open demo →Vehicle routing
A textile-services provider planned its week by hand until now. For the same week of deliveries, Quicopt needs one truck fewer at the peak and 27 hours less driving. We show you where the difference comes from.
Open demo →
Electronics · PCB Assembly
Real-time component pricing for PCB assembly.
Price curves in seconds instead of minutes. Live in production.
Read the story →