Fragmented offer discovery
Employees needed a clear way to see eligible lease and purchase offers and compare vehicles.
Deployed AI-assisted transformation · Anonymous automotive group
From fragmented vehicle offers to one governed platform.
How TechnoSignage used an AI-assisted design and development workflow to deliver a secure employee vehicle offers portal spanning discovery, comparison, applications, VIN inventory, approvals, waiting lists, reporting, and operational control.
Employee offer journeyDeployed & operational
01 / DiscoverOffers & comparisonEligible lease and purchase options in one responsive experience.
02 / ApplySecure applicationConfidential documents and controlled request submission.
03 / AllocateVIN inventoryReservation, availability and waiting-list coordination.
04 / GovernReview & reportingRole-based approvals, audit history and management visibility.
A complex employee programme needed one operating system.
A multinational automotive group needed to replace fragmented, manually coordinated employee vehicle offers with a controlled digital journey. The platform had to serve several user groups while protecting confidential information, enforcing eligibility, and keeping inventory and approvals visible.
IndustryAutomotive
ClientMultinational group, anonymised
RegionMulti-country operation
ExperienceResponsive web application
ScopeDesign through deployment
StatusDeployed and operational
The challenge was operational, not cosmetic.
The client was coordinating offers, applicants, vehicles, dealers, approvals, documents, and country-level responsibilities across disconnected steps. A catalogue alone would not solve the problem; the entire lifecycle had to become traceable.
Manual inventory coordination
Vehicle availability and VIN reservation required stronger controls to prevent conflicts and delays.
Disconnected approvals
Dealer and management reviews needed a shared workflow with visible status and ownership.
Confidential information
Documents and application details required secure, request-specific access boundaries.
Waiting customers
Suitable future inventory had to be matched to demand without relying on manual follow-up.
Limited management visibility
Leaders needed a current view of demand, supply, progress, approvals and financial performance.
A connected platform from offer to completion.
The delivered system combines a customer-grade employee experience with the controls needed by dealers, country teams, and administrators. Each layer supports the same governed transaction lifecycle.
Offer discovery, vehicle comparison, applications, document submission, tracking and invitations.
VIN-level availability, reservation, lifecycle status and waiting-list matching.
Secure request links, review steps, approvals and request-specific document access.
Country and administrator controls, operational dashboards, audit history and reporting.
Identity integration, SQL data, email, scheduled jobs, imports, deployment checks and rollback support.
Capabilities built around the real workflow.
Rather than forcing the programme into a generic sales tool, the product was tailored around employee eligibility, automotive inventory, dealer participation, confidential documents, and management oversight.
Employee experience
- Lease and purchase offer catalogue
- Vehicle comparison and eligibility access
- Application and document submission
- Application tracking and notifications
Inventory intelligence
- VIN-level reservation controls
- Demand-versus-supply analysis
- Automated waiting-list matching
- Inventory lifecycle visibility
Governance and operations
- Dealer review and approval workflows
- Role and country-scoped permissions
- Audit history and communications
- Financial and operational reporting
Transparent AI disclosure
What AI did—and what it did not do.
This is an AI-assisted digital transformation case study. AI tools supported rapid exploration, prototyping, and development. The deployed product combines workflow automation, analytics, dashboards, and rule-based decision support.
AI accelerated the buildGoogle AI Studio and Gemini were used within the development workflow to help the team move from requirements through prototyping and implementation.
Production decisions remain governedThe current application does not rely on a production AI model to make vehicle, customer, eligibility, or approval decisions.
Intelligence is explainableInventory coverage and demand-versus-supply views use deterministic analytics and business rules that operational teams can understand and govern.
From workflow definition to controlled release.
The engagement joined business analysis, rapid prototyping, product design, full-stack engineering, enterprise integration, operational verification, and production deployment.
01Define
Map offers, eligibility, applications, inventory, dealer actions, permissions and reporting needs.
02Prototype
Use AI-assisted exploration to test information architecture, workflows and interaction patterns quickly.
03Engineer
Build the React and TypeScript application, Node.js API, SQL data layer and enterprise controls.
04Integrate
Connect identity, dealer data, email, documents, imports, scheduled maintenance and reporting.
05Deploy
Package for IIS, validate health and readiness, verify dependencies and retain rollback support.
Demonstrable operational value without invented percentages.
No approved before-and-after performance figures are available for publication yet. The case study therefore reports only capabilities and operational improvements visible in the deployed system.
One end-to-end journey
Offer discovery, application, review, allocation and completion now operate in one connected environment.
Less manual coordination
VIN reservation, lifecycle controls and waiting-list matching reduce reliance on disconnected follow-up.
Faster exception handling
Notifications, recorded communications and visible status help teams identify and resolve stalled requests.
Stronger auditability
Decisions, document reviews, status changes and deletions are recorded for operational accountability.
Management visibility
Dashboards expose demand, inventory coverage, waiting customers, approval progress and financial performance.
Controlled confidential access
Role-scoped and request-specific access protects employee documents and dealer workflows.
Publication note: the client remains anonymous and the page uses an illustrative system diagram rather than production screenshots. Customer branding, personal information and confidential commercial data are not shown.
Build around your workflow
Where could AI-assisted delivery move your idea forward?
Bring us the business process, users, constraints, and outcome. We can help you test the concept, shape the product, engineer the complete system, and deploy it into your environment.