Forecast & allocate
Explore demand forecasts and workforce requirements using operational inputs and explicit planning assumptions.
Turn warehouse data into practical decisions about staffing, capacity and performance.
FlowOpt AI brings forecasting, workforce planning and operational KPIs into one prototype workspace.
Discuss a warehouse pilot ↗Illustrative interface and sample figures. Not customer results or a live product demo.
A Streamlit-based prototype developed around practical warehouse operations, ready to be evaluated with real-world pilot partners.
Explore demand forecasts and workforce requirements using operational inputs and explicit planning assumptions.
Compare staffing, volume and productivity scenarios before making changes on the warehouse floor.
Review capacity, labour hours, achievement and operational risk alerts through KPI dashboards.
We are seeking UK-based warehouse pilot customers and real-world operational validation. Agree a focused scope, test with authorised sample data and assess whether FlowOpt AI is useful for your operation.
Understand your operational problem and define a practical pilot scope.
Agree measures and document the starting point using authorised sample data.
Explore planning outputs and compare scenarios with your team.
Record actual outcomes, usefulness, accuracy and commercial fit.
No customer performance improvements are claimed at this stage. Pilot terms and any fees will be agreed in advance.
Explore a pilot ↗FlowOpt AI is independently developed by Ashok Kumar Patha, combining an MSc in Data Science from Coventry University with hands-on UK warehouse operations experience.
The current focus is validating the prototype with UK warehouse teams and developing it around measurable operational needs.
We also welcome relevant non-equity support and operational partnerships.
Tell us about your operation, your location and the planning problem you would like to explore.
flowoptai@gmail.com ↗Ashok Kumar Patha
Founder, FlowOpt AI · United Kingdom