Webskyne partnered with a regional automotive service network to rebuild its parts sourcing and installation workflow. The organization managed 120+ partner garages and thousands of SKUs, but relied on spreadsheets, manual phone calls, and fragmented vendor catalogs. This case study details how we discovered bottlenecks, defined measurable outcomes, and delivered a unified web + mobile platform using Next.js, NestJS, and Flutter. We implemented real-time inventory feeds, a compatibility engine, geo-verified technician dispatch, and a clean quoting flow that reduced customer wait times. The project improved conversion, shortened fulfillment cycles, and provided leadership with live operational metrics. The story covers the challenges, approach, implementation choices, and results, plus the lessons learned about data quality, change management, and system resilience. We also highlight the governance model, QA strategy, and phased rollout that kept day-to-day operations stable while the new system went live.
A regional automotive service network operating across five states wanted to modernize how it sourced parts and managed installation jobs. The business supported 120+ partner garages and independent mechanics, handled thousands of SKUs, and coordinated a rotating list of salvage yards and distributors. The old process relied on vendor spreadsheets, manual phone calls, and inconsistent pricing rules. Customer experience suffered, partners struggled to keep inventory current, and leadership lacked trustworthy operational metrics. Webskyne was engaged to design and deliver a unified marketplace-style platform that would streamline the parts lifecycle end-to-end: catalog ingestion, compatibility checks, quoting, ordering, job dispatch, and settlement. We rebuilt the workflow with a web admin portal, partner dashboards, and mobile apps for field technicians. The result was a scalable, data-driven system that cut order cycle time, increased conversion, and introduced reliable performance visibility.
We used a phased, risk-reducing approach that combined deep discovery with incremental delivery. The team aligned on five guiding principles: 1. Standardize data before automating: A marketplace is only as strong as its catalog. We needed canonical SKUs, normalized metadata, and compatibility logic before real automation could work. 2. Design for partner adoption: Vendors and garages were the engine of the network. The platform needed to be simple enough to use with minimal training. 3. Mobile-first for field techs: Installation jobs happen on-site. We prioritized mobile workflows for dispatch, geo-verification, and photo capture. 4. Build with auditability: Every quote, order, and job needed a traceable history to support disputes and compliance. 5. Deliver value every sprint: Instead of a “big bang” launch, we planned for multiple releases that improved specific workflows while the legacy system stayed online. We started with discovery workshops and process mapping, then validated assumptions with real partner data. The architecture was designed for modularity to allow the inventory pipeline, compatibility engine, and dispatch system to evolve independently.
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