
Case Studies • Oct 12, 2023
QLECTOR LEAP addresses challenges across industries. It is designed individually for each industry in collaboration with leading industry experts. At QLECTOR we understand that each company is unique in its workflow and culture. QLECTOR LEAP uses artificial intelligence to learn and adapt to the specificity of a company.
Browse through the selected use cases and learn more about how QLECTOR LEAP helped our partners.
Use Case Study
The automotive industry is known for its high efficiency due to the early introduction to the lean concept. QLECTOR LEAP maintains lean at all times. Partners can now reduce organizational downtime and inventory levels through forecasting tool change, material coverage, and HR requirements.
Time lost manually creating and updating production plans and schedules
Time lost fine-tuning schedule via phone or e-mail
Knowledge locked within planner and team coordinator
More and longer downtimes due to slower response to unplanned events
1 day/week time savings for planners and team coordinators
On-time preparation for tool changes
5% OEE increase
Use Case Study
Legislation raise in the minimum wage for assembly workers
Unable to manage the complexity of diverse product portfolio
Long and unpredictable lead times
Manual scheduling of workers to assembly cells
High intermediate inventory
1 day/week time savings for team coordinators
10% shorter lead time
A higher turnover ratio
Use Case Study
Partners in the chemical industry have very high digital maturity due to the traceability requirements. QLECTOR LEAP unlocks the value of data through the operational use of data for forecasting production and inventory levels, which trigger just-in-time delivery by suppliers.
Time lost manually checking realization on the shop floor to order materials and transportation
Time lost manually creating and updating production plans
Inability to establish just-in-time
1 day/week time savings for planners and team coordinators
Enabling just-in-time delivery
Replacing repetitive tasks with added value tasks
Qlector LEAP in Real-Time
QLECTOR LEAP uses historical data and artificial intelligence to forecast production and suggest optimal measures when unplanned events occur.