A workshop is a surprisingly complex operation. Customers arrive with different issues. Technicians have different specializations. Parts need to be available when needed. And the manager needs visibility into everything — simultaneously.
The Problem
Before the system, workshop scheduling was done manually. Job assignments were verbal. Parts inventory was tracked on paper. Service history for repeat customers was stored in filing cabinets — if it was stored at all.
What the System Covers
Job Scheduling — Incoming service requests are logged, categorized by service type, and assigned to available technicians based on their skills and current workload.
Technician Management — Each technician has a profile showing their specializations, current assignments, and availability. Managers can redistribute workloads with drag-and-drop reassignment.
Parts & Service Listings — A complete inventory of parts with stock levels, pricing, and supplier information. When a technician needs a part for a job, they request it from inventory — automatically updating stock counts.
Customer Records — Complete service history for every customer. When a returning customer arrives, the team can see every previous visit, what was done, and any outstanding issues.
Corporate Client Handling — Fleet customers with multiple vehicles require special handling — contract pricing, bulk scheduling, and consolidated invoicing.
Branch Operations — Multi-location support with branch-level inventory, technician pools, and separate reporting.
Analytics Dashboard — Real-time metrics on job completion rates, revenue by service type, technician utilization, and parts consumption trends.
Design Philosophy
The dashboard needed to answer one question instantly: "What's the status of the workshop right now?" I designed a single-screen overview showing active jobs, upcoming appointments, parts alerts, and revenue metrics — all updating in real time.
Result
The system transformed workshop operations from reactive to proactive. Managers can now spot bottlenecks before they cause delays, and the data-driven approach has improved technician utilization significantly.