Solutions
It starts where operations are heaviest.
The scenarios below are the entry points that come up most often in pilot conversations. Scope is always defined together, based on your data structure.
Manufacturing
Inconsistencies across planning, stock, master data and supplier data.
Problem
Inconsistencies in planning, stock, master data and supplier data delay production flow, and the problem usually only becomes visible on the shop floor.
What FlowOps can analyse
- Inconsistencies between production orders and stock records
- Missing or incorrect product master data
- Gaps in supplier delivery and lead-time data
- Records not updated within the expected window
Value hypothesis
Data issues that affect planning become visible before they reach the shop floor.
Pilot entry point
Pick one process or dataset and review the findings together after 30 days.
Logistics & Distribution
Exceptions in delivery, stock movement and operational flow.
Problem
Exceptions in delivery and stock movement are usually discovered through customer feedback, while the records stay scattered across systems.
What FlowOps can analyse
- Missing fields in delivery and dispatch records
- Inconsistencies between stock movements
- Status transitions that deviate from the expected flow
- Operational records updated late or not at all
Value hypothesis
Exceptions become visible with their operational impact and a matching responsible role.
Pilot entry point
Start with a single operational flow and review findings and recommended actions after 30 days.
ERP-Heavy SMEs
Teams relying on reports and manual controls.
Problem
The ERP is in place, but data-quality control depends on individuals. When one person is away, the control stops too.
What FlowOps can analyse
- Gaps in required fields
- The same entity being inconsistent across records
- Records that do not comply with defined business rules
- The parts of manual checklists that can be automated
Value hypothesis
Less dependence on individuals, and a repeatable control routine instead.
Pilot entry point
Take one list you check in Excel today and put it inside the pilot scope.
ERP Consultants / Integrators
An additional operations-intelligence layer for client deployments.
Problem
After an ERP rollout is complete, data-quality issues continue on the client side and come back to the consultant.
What FlowOps can analyse
- Post go-live data-quality signals
- Recurring exceptions inside client processes
- Master-data consistency checks
- Action lists that can be followed up after go-live
Value hypothesis
A repeatable operations-intelligence layer that sits on top of existing ERP projects.
The scenarios on this page are value hypotheses. They contain no numeric ROI commitment; each pilot outcome depends on the customer's data structure and scope.
Let's start with your scenario.
Tell us briefly about your processes and we will define a suitable pilot scope together.
A demo, technical documentation and a detailed product walkthrough can be provided on request.