The AI operations brain for flow visibility, bottlenecks, delivery performance, and execution control.
microLM Flow gives operations teams a decision cockpit built around throughput, service levels, inventory, and execution risk. It turns operational data into usable visibility instead of disconnected dashboards and status meetings.
microPilot works across Flow to answer natural-language questions, explain operational issues, and recommend next steps.
Track order flow, cycle times, and stage bottlenecks across the operation.
Monitor OTIF metrics by customer and product with delay reasons surfaced clearly.
See stock levels, slow-moving or obsolete items, and resource utilization patterns.
Track project status, budget versus actual, timeline drift, and risk flags where relevant.
Spot where work is slowing down before delays roll into customers, revenue, or margin.
Use microPilot to connect operational issues to the right context, constraints, and likely causes.
Turn operational visibility into faster decisions on throughput, inventory, utilization, and delivery.
That shared foundation lets operations see how execution issues connect to finance, sales, service, and leadership priorities. Start with Flow or activate it as part of the full suite.
Answers for operations teams evaluating throughput visibility, bottleneck detection, inventory control, and delivery performance.
microLM Flow is designed to give operations teams a live view of throughput, bottlenecks, delivery performance, inventory, and execution risk so they can act earlier and coordinate faster.
Flow is designed to surface cycle-time problems, stage bottlenecks, OTIF risk, inventory issues, resource underuse or overload, and project-level warning signals.
Flow tracks delivery and SLA metrics with the context behind delay reasons so teams can understand which constraints are driving missed commitments and where to intervene first.
Yes. Flow is built to show how stock, utilization, bottlenecks, and delivery performance interact so operations teams are not reviewing those signals in isolation.
Yes. microPilot helps users ask operations questions in natural language, explain bottlenecks and execution issues, and recommend the next best action.
