FlexOps Diagnostics

Don't let history repeat itself

Our AI uses machine learning models and large amounts of your historical data to automatically map your processes. Once mapped, we re-create the journey of items or services through your existing systems.

From there, benchmark measurements of time and cost are established and efficiency levels are determined. All of this can be done with extracted data from ERPs, WMSs, TMSs, Excel, or by integration with our FlexOps API for continuous real-time intelligence and improvement.

FlexOps Diagnostics diagrams and flowcharts

Glasses resting on laptop with coding programs on screen

Automatically fix imperfect data

You can’t fix what you can’t see — every organization has problems with their data. FlexOps detects common issues like redundancies or bad geocodes and provides tools to fix them. And the FlexOps optimization algorithms are built to work with even imperfect data in the real world.

AI-powered business intelligence

FlexOps Diagnostics identifies costly bottlenecks and inefficiencies automatically, allowing you to prioritize your improvement plan. It goes beyond what manual or traditional BI investigations can do and uncovers hidden opportunities that even the most efficient organizations can improve with.

Identify opportunities automatically

Inefficient manual or semi-automated scheduling, booking, or routing practices
Utilization variations across fleets leading to instability
Handling steps (sorting, packing, scanning) that create bottlenecks and cause delays
Poorly designed prioritization, FIFO, or vehicle packing processes
Over/under utilized assets
High-cost reverse logistics processes
Last-mile delays due to parking, traffic, weather, human error, or more.