Data-driven process simulation and intervention analysis
Improve Customer Flow and Reduce Checkout Delays with SiMLQ
SiMLQ models real customer journeys across your stores, revealing where congestion builds and which interventions actually shorten queues.
Why SiMLQ
More efficient than ever
SiMLQ automatically generates process simulations. Our unique ability to model congestion and focus on comparative and prescriptive analytics sets us apart from the industry.
Capabilities
Harness the power of actionable insights to drive exceptional outcomes
Innovative Hybrid Analysis
Automated network learning utilizing a unique hybrid approach that combines queue mining and machine learning techniques.
Resources and Queue Insight
Effectively approximates system load even with minimal or missing resource and queueing information.
Adaptive Data Handling
Flexible intake of contextual attributes.
Digital Twin Simulation
Enables digital twin simulations for comparative analysis of system changes.
Proven Real-world Success
Successfully tested on real-world hospital and cloud computing data.
Data-driven Scalable Simulation
Leveraging extensive data to create highly adaptable process models, ensuring simulations accurately reflect real-world dynamics.
Our clients
Affiliations & support
Welcome to a simple, powerful data processing tool.