Production scheduling
Replace spreadsheet-based scheduling with a live board that understands jobs, operations, work centers, machines, shifts, labor, and due dates.
AI manufacturing software
PrepDesk connects your ERP, schedules, engineering files, purchasing email, materials data, and production constraints into a live operating model that helps managers decide what should run next.
Manufacturing operations workspace
ERP, schedules, purchasing, and production constraints
Order ready to run
Capacity available, required materials ready
Material-dependent order
Material delivery delayed, alternate slot available
Engineering-dependent order
Drawing revision needs manager approval
Recommended action
Move an at-risk order into the next available production slot, then send the revised schedule for manager approval.
Schedule
Finite-capacity board
Materials
RFQs and readiness
Execution
Alerts and re-optimization
Margins
Estimate vs. actual
Operations summary
Late jobs, bottlenecks, material blockers, RFQs waiting, and margin-risk work sent by email or text.
Operations layer
PrepDesk connects to existing systems in a controlled way, solves painful daily scheduling and material decisions, and builds the reusable model for broader AI-first ERP workflows.
Replace spreadsheet-based scheduling with a live board that understands jobs, operations, work centers, machines, shifts, labor, and due dates.
See machine, department, work-center, and labor load before bottlenecks turn into late orders.
Show whether each job has required materials available, on order, delayed, or missing before the schedule commits constrained capacity.
Flag orders likely to miss due dates because of capacity, supplier delays, labor constraints, engineering changes, or missing materials.
Draft vendor RFQs, track replies, compare price and lead time, and prepare approved purchase packets for entry.
Find similar past jobs, compare estimates to actuals, expose margin leakage, and improve quoting decisions over time.
Capabilities
PrepDesk focuses on the core decisions that determine throughput, delivery performance, purchasing efficiency, and margin.
Use your ERP, scheduling spreadsheets, shared files, email, CRM, and engineering metadata to create one operating picture without forcing an immediate system replacement.
Model jobs, operations, routings, work centers, machines, shifts, labor, materials, vendors, purchase orders, and due dates so teams can plan with actual constraints.
Re-optimize when a worker is unavailable, a machine goes down, a rush order arrives, a supplier slips, or a material constraint changes.
Require approval for schedule changes, RFQs, purchase packets, customer notifications, and other sensitive actions, with audit trails and manual overrides.
Show late orders, at-risk work, bottlenecks, material blockers, RFQs waiting, and estimate-vs-actual margin trends in one place.
Support role-based visibility for leaders, planners, purchasing, engineering, supervisors, and operators so each team sees the decisions it owns.
Control model
Manufacturing software needs human override, clear approvals, and operational auditability because schedules, materials, POs, and customer commitments have real-world consequences.
FAQ
How PrepDesk fits with ERP data, scheduling, purchasing workflows, and production decision making.
No. The first version can sit above your ERP, scheduling spreadsheets, email, shared files, and engineering systems. It starts as a trusted operations layer, then can take over more ERP-like workflows as the software proves value.
Scheduling touches due dates, labor, machine capacity, material readiness, customer commitments, and margin. It is the clearest wedge for immediate operational value.
AI can recommend schedule changes, check material readiness, draft RFQs, summarize vendor replies, compare estimates to actuals, send alerts, and prepare updates for human approval.
PrepDesk keeps approval workflows, manual overrides, permissions, and audit logs around sensitive actions like changing schedules, sending RFQs, drafting POs, and notifying customers.
Build the AI operations layer
Book a walkthrough of the manufacturing operations layer, high-level features, and path toward AI-first ERP workflows.