A collection of projects that helps teams assess where to start and which operating conditions most often lead to a fast business result.
Case study: a LiDAR- and SLAM-based forklift tracking system that turns fleet movement, idle time, congestion and operator activity into measurable data.
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In May 2026, the first Inovatica AGV autonomous forklift was delivered to Saudi Arabia. The delivery with a local partner marks our first machine in the Gulf region and our first step beyond Europe.
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Deployment of an autonomous internal logistics system in Magna based on a fleet of six ST-1416 / ST-1430 stacker AGVs from Inovatica AGV.
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A case study from FicoMirrors Polska: AGV deployment designed around process stability, safety and predictable internal logistics in an automotive Tier-1 environment.
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How a UWB positioning system protects six sectional doors by detecting 13 forklifts before they enter the doorway — without floor works or dependence on the plant’s IT network.
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A case study from Huhtamaki Foodservice Poland: automation of pallet transport for raw materials, paper rolls and finished goods in a dynamic production environment.
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Automation of internal transport in Raben Logistics Polska based on four MT-800 transport robots integrated with fleet management software.
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Whirlpool Company Polska successfully deployed AGV vehicles to improve the efficiency and safety of internal logistics between production and warehouse areas.
Read case study A strong case study is not a blueprint to copy one to one. What matters more is whether the project reflects a similar trip volume, storage logic, shift model and site constraints to your own process.
That is why we show not only the vehicle, but also the operating context, industry, rollout scope and business effect. In early-stage planning this usually gives a better starting point than a pure technical specification sheet.
The most useful comparison is usually not fleet size alone, but whether the first rollout stage solved a concrete operating bottleneck and created a realistic path for further scaling.
Check whether the deployment covers a comparable transport stream such as line supply, buffers, storage handling or zone-to-zone pallet flow.
Compare aisle geometry, pick-up and drop-off points, mixed traffic and safety requirements, because these details usually shape the rollout architecture.
The most useful examples show higher flow predictability, better stability and readiness for further scaling, not only the fact that automation was launched.
We can review trip volume, site constraints and which first rollout scope is the most rational for your operation.
