Apparel pre-production
Sewlytic
Staff the line before the first stitch.
Turn the Excel you already keep for buyers into allocation, balance, and risk — models for the numbers, planners for the final call.
Works with skill matrices, RAL / OB, Tommy manning, Form 22 attendance — your dialect, not reinvented SAM.
How it runs
Three jobs.
One plan.
Models predict. Solvers assign. Agents explain — then wait for your approval before anything hits the floor.
- 01
ML predicts
Efficiency, DHU risk, ramp-up, and changeover — chosen by bake-off on real factory Excel.
Champions only after bake-off
- 02
Optimization assigns
Operator allocation and line balancing under real constraints — not chatbot math.
Hungarian skill-fit, honest infeasibility
- 03
Agents reason
Specialized agents orchestrate tools, explain trade-offs, and wait for planner approval.
Explain — then wait for you
Customers
Built for export apparel supply chains
Mid-to-large factories serving international buyers — where skill, OB, manning, and muster data already exist. Pilots start on your dialect (e.g. Silver Spark + Tommy), not invented SAM.
- Buyer-ready Excel already on hand
- Dialect packs per factory unit
- IE named seating vs plan compare
- Form 22 morning re-seat path
- Woven & knit exporters
- Sportswear units
- Multi-line factories
- IE-led planning teams
- QA-aware launches
- Buyer-compliant floors
Buyer logos omitted for now — pilot case studies land here after factory permission.
Start planning
Built for factory planners.
Upload the Excel you already keep for buyers. Challenge the plan. Commit when ready.
Operator allocation
Match people to operations from skill history and the live pool.
Line balancing
See load across stations before the first bundle hits the floor.
Quality risk flags
DHU and watch-outs when the data supports them — silent when it does not.
What-if scenarios
Try leaner crews or closer changeovers without touching the main plan.