From chaos to control in three steps

BayWise Scheduler replaces whiteboards, phone calls, and guesswork with a system everyone on the team can see.

What changes in Week 1

From zero to scheduling in under 30 minutes. No consultants. No data migration. No credit card. By Friday, your first day close is done and your baseline is live.

Step 1: Set up your workshop

Add your bays, technicians, service catalog, and operating hours. Link equipment to specific bays — a spray booth, a 4-post hoist, a diagnostic station. BayWise knows what each bay can handle.

If you run multiple locations, configure once at headquarters and push to every site. The Riyadh Ramp-Up proved this works: when Abdul Latif Jameel opened an 80-bay mega-workshop in KSA, the first month without a scheduling system was chaos — jobs misrouted, techs idle, the controller overwhelmed. BayWise deployed in week 2 changed the trajectory. Setup took one afternoon.

Step 2: Schedule and track

At Tanaka Auto Service in Osaka, Luca finishes a brake service and checks his screen. His next assignment is already waiting — Renault Duster, Bay 5, wheel alignment. No hunting for the controller.

The calendar grid shows every bay, every job, every technician in real time. Multi-step jobs enforce the right sequence: at AGMC BMW/MINI Service in Abu Dhabi, a 7-Series cannot enter the paint booth before panel alignment is signed off. BayWise enforces it automatically.

AI suggests optimal assignments — the right tech, the right bay, the right time slot. You review and approve. AI never decides alone.

Step 3: Close the day and measure

5:45pm at Tanaka Auto Service. Omar opens Day Close. Three jobs still have open steps.

He carries over the Land Cruiser — parts arrive tomorrow. Marks the Golf complete. Flags the Duster "waiting parts." Day closed in 4 minutes. Tomorrow starts clean.

Analytics show bay utilisation hit 82% this week — up from 63% two months ago. Promise-time accuracy climbed from 68% to 87%. The numbers tell the story: every bay is earning closer to its potential.

AI that deeply understands auto repair

BayWise AI works alongside your team — never replacing human judgment, but handling the complexity that humans cannot track manually.

Auto repair scheduling is a real-time optimisation problem with dozens of variables. AI doesn't just match "available tech to open bay" — it evaluates technician specialisations, equipment requirements, job phase dependencies, parts availability, and promised delivery times simultaneously. The result: fewer misassignments, less rework, faster throughput.

Smart scheduling suggestions consider the full picture — a panel tech certified for aluminium, a bay with the right jig, a time slot that won't conflict with the next phase of another job. Your controller reviews and approves with one tap.

AI job summaries analyse completed jobs to surface lessons learned: what went well, what took longer than expected, and what to improve next time. Across a fleet, these summaries identify patterns no human could track — which locations consistently under-utilise certain bays, which techs outperform on specific job types. Over time, AI builds detailed insights: technician productivity patterns, bay efficiency trends, and actionable improvement recommendations that benefit every future repair.

The AI Debrief at Carsmart Workshop, Melbourne: End of week. The AI summary surfaces that Bay 3 ran at 52% utilisation — 20 points below average. Root cause: two carry-over jobs blocked the bay each morning. Recommendation: reschedule long jobs to Bay 7. Simple. Actionable. Data-driven.

Free plan. No credit card. No sales call.