Autodialog / Mobo
Developed an intelligent workshop operations platform that orchestrates the entire automotive aftersales workflow.
Automotive retailers, dealer groups and mobility providers are facing a new operating reality: margins are under pressure, customer expectations are rising, vehicle data is becoming strategic, and services such as leasing, rental, insurance and subscriptions are moving from add-ons to core business.
The answer is not another disconnected tool. It is a smarter operating model where data, AI and engineering help teams sell faster, service more proactively and manage every vehicle as part of a longer mobility relationship — from first lead to resale, renewal or next journey.
Dealers and mobility players are expected to become more than sales organisations. They need to guide customers across new cars, used cars, financing, leasing, rental, service, charging and connected services — online and offline.
Most organisations still run on fragmented systems, legacy platforms, OEM-mandated tools, scattered customer data and manual workflows. CRM, DMS, VMS, used-car tools, service systems and leasing platforms rarely operate as one connected intelligence layer.
The customer relationship is under pressure. OEMs, platforms and connected-car ecosystems are creating new direct channels to drivers, while customers expect transparency, convenience and personal relevance at every touchpoint.
AI creates an opportunity to close that gap — not by replacing sales, service or aftersales teams, but by giving them better intelligence, better tools and better ways to act at the right moment.
AI becomes valuable when it is connected to real business pressure. In automotive and mobility, that means improving lead conversion, stock rotation, used-car margins, service capacity, customer retention, vehicle health, leasing performance and connected mobility journeys.
Empower customers online and equip sales teams with AI-driven insights, guidance and decision support across every channel.
Move beyond lead management by using AI to engage prospects, schedule test drives, guide sales teams and trigger the next best action throughout the buying journey.
Match new and used vehicle stock to local demand, sales probability, channel performance and branch needs.
Optimise pricing, stock ageing, reconditioning decisions and remarketing channels to protect margin.
Estimate vehicle value, resale potential and future risk earlier in the sales or leasing journey.
Automate routine driver questions, document requests, appointment flows and status updates while keeping human support for complex cases.
Centralise delivery and service status, trigger stakeholder updates and keep customers informed from order to handover, service follow-up and next action.
Use service history, DSM-data, usage data and connected-car signals to act before breakdowns or customer churn.
Build AI-enabled leasing, rental and fleet platforms while improving utilisation, renewals and asset performance.
Connect vehicles, customers, service moments and mobility products into new recurring value streams.
Many automotive & mobility organisations already see the potential of AI. The harder question is where to start, how to de-risk delivery and how to scale beyond isolated experiments.
Wildstream starts with value, data readiness and operational risk.
We identify use cases where business impact is high, delivery complexity is manageable and adoption is realistic.
Then we build a multidisciplinary delivery pod that combines automotive context, product thinking, engineering, data and Applied AI capability.
The goal is not to launch ten disconnected AI pilots. The goal is to prove value in the right place, make it operational, and scale from there across sales, aftersales, used cars, leasing, rental or connected services.
We map business impact, delivery complexity, data readiness and organisational maturity to choose where AI can create measurable value first.
We configure a multidisciplinary Wildstream pod together with your team, combining automotive expertise, product ownership, engineering, data and AI capability.
We link existing CRM, DMS, VMS, OEM tools, leasing platforms and customer-facing channels through a reliable data and API foundation.
We do not force automation where human control is required. We design the right level of AI assistance, approval, explainability and governance.
Once value is proven, we extend the pattern across locations, brands, channels, vehicle categories, service teams or mobility products.
Customers move between buying, financing, leasing, renting, servicing and replacing vehicles, while many organisations still manage those journeys in separate silos.
Customer, vehicle, contract, stock, service and marketing data often sit across too many tools, making it difficult to build one reliable view of the customer and asset lifecycle.
Pricing, reconditioning, stock ageing, trade-in valuation and remarketing are still too dependent on manual interpretation, even though small delays can erode margin quickly.
Service teams often act after the customer reports a problem. AI can help shift aftersales toward proactive intake, predictive maintenance, better planning and stronger retention.
Fleet utilisation, contract risk, renewal timing, damage handling, residual value and remarketing are often optimised separately instead of as one lifecycle.
As vehicles become more connected, OEMs and platforms gain new ways to engage drivers directly. Dealers need the data foundation and service model to stay relevant in that relationship.
We use AI to design, build, test and improve digital automotive solutions faster and with higher delivery discipline. This helps dealer groups and mobility players modernise platforms, connect legacy systems, improve internal tools and accelerate customer-facing product development.
We build AI into the automotive solution itself: lead scoring, sales copilots, AI market coaches, used-car pricing intelligence, service intake assistants, predictive maintenance workflows, parts forecasting, leasing renewal intelligence and connected mobility layers.
Both disciplines reinforce each other. One helps you build faster. The other helps you build smarter automotive and mobility capabilities.
Developed an intelligent workshop operations platform that orchestrates the entire automotive aftersales workflow.
Modernized a legacy rental platform using AI, delivering a scalable, future-ready engineering architecture.
Implemented an AI-powered customer chatbot to automate support and improve service interactions.
We are not an AI demo team. That means we care about business value, operating constraints, engineering quality, data foundations and adoption in the organisation.
For automotive and mobility, our role is to help teams move from fragmented tools and manual decisions to practical capabilities that improve sales conversion, stock performance, service retention and asset lifecycle value.
Wildstream combines automotive experience, AI engineering, high-end software delivery and growth execution. We help you start small enough to prove value, and build strong enough to scale across the vehicle and customer lifecycle.
Rijnkaai 100 – 12 B, 2000 Antwerpen