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Automotive

Multi-Location Workshop ERP & Real-Time Bay Orchestration Engine

Delivered an end-to-end Workshop Management System (WMS) with digital job card flow, automated parts counter billing, Bayesian service time estimation, and customer SMS tracking.

Executive Summary & Mandate

Organization Profile: Authorized Automotive Dealership & Multi-Brand Service Network (18 Hubs, 240 Service Bays)

Core Engineering Mandate: Service bays suffered from 34% idle wait times due to manual paper job cards, stockout delays, and desynchronized technician scheduling.

The Legacy Bottlenecks (Before)

  • Paper job cards frequently went missing between service advisors, parts stores, and bay technicians.
  • Mechanics spent 22 minutes per repair walking to inventory counters to verify spare part availability.
  • Customer approval bottlenecks for unforeseen part replacements delayed billing and bay turnover.
  • Lack of real-time bay utilization tracking led to uneven workload distribution and excessive overtime.

Engineering Approach & Implementation (During)

Digital Job Card & Real-Time Bay Orchestrator

Designed a reactive WebSocket-driven kanban engine for bay dispatchers and technicians with barcode scanning for vehicle check-in and task completion timestamps.

Point-of-Use Parts Requisition System

Integrated real-time inventory reservation with automated stock bin pick lists, enabling runners to pre-stage parts at designated service bays before teardown.

Customer Digital Approvals & Video Inspection

Built mobile-friendly inspection modules enabling technicians to upload 15-second diagnostic clips and dispatch one-click WhatsApp/SMS estimate approvals to car owners.

Architectural Safeguards & Protocols

  • Multi-tenant data isolation allowing franchised dealer networks to manage separate P&L accounts
  • Event-driven inventory ledger with zero negative-stock race conditions via database locks
  • Offline-capable tablet progressive web app (PWA) for grease-resistant bay inspection terminals

Quantified Operational Impact (After)

  • Increased vehicle throughput from 280 to 368 cars serviced daily across the network.
  • Cut spare parts retrieval latency by 76% using automated parts store runners and pre-staged pick lists.
  • Customer CSAT score surged from 3.8 to 4.7/5 driven by transparent digital inspection video links.

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