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  3. /Automotive Software: DMS, Workshop Planning, Vehicle Data and EV Charging Infrastructure for Dealers and Fleets

Automotive Software: DMS, Workshop Planning, Vehicle Data and EV Charging Infrastructure for Dealers and Fleets

Car dealers and leasing companies struggle with outdated DMS systems, manual workshop scheduling and a disconnected customer journey. Custom software modernises dealership operations, leverages vehicle telemetry and delivers customers a seamless experience from configuration to after-sales.

The automotive industry is undergoing an unprecedented transformation that touches every part of the value chain, from manufacturer to dealer to end user. The transition to electric vehicles is fundamentally changing the product offering: dealers must advise on range, charging infrastructure and incentives while their technical expertise still largely centres on internal combustion engines. Connected car technology generates a continuous stream of vehicle data that creates opportunities for predictive maintenance and personalised service offers, yet this data remains untapped at most dealerships. Changing ownership models such as personal contract hire, car subscriptions and mobility-as-a-service shift the focus from one-off sales to long-term customer relationships with recurring revenue. Meanwhile dealers wrestle with legacy Dealer Management Systems (DMS) that were not designed for this new reality. Workshop scheduling is manual, inventory visibility across locations is unreliable and the customer journey is fragmented: online configuration, showroom visit and after-sales contact flow through different systems without continuity. Custom software enables automotive businesses to break through this fragmentation. A modern DMS connects sales, workshop, parts and finance. Connected car platforms translate vehicle telemetry into concrete service actions. Multi-location inventory management optimises stock rotation with AI-driven pricing. And an omnichannel platform gives the customer a seamless journey from initial interest to years of after-sales relationship.

Pain points

  • Outdated Dealer Management Systems (DMS) that do not align with modern customer journey models and the digital expectations of today's car buyer, creating a disconnect between the online and in-showroom experience
  • Lack of insight into vehicle data and diagnostics because connected car telemetry is not read or linked to the service scheduling system, making proactive maintenance impossible and keeping repairs purely reactive
  • Complex inventory management for new and used vehicles across multiple dealer locations with unreliable availability information and manual pricing not based on current market data
  • Fragmented customer journey where online configuration, showroom visit, test drive, financing and after-sales contact run through different systems with no continuity in customer history
  • Difficult integration with manufacturer systems for warranty claims, parts ordering and recall campaigns, and with vehicle registries for registration data and roadworthiness records
  • Manual workshop scheduling leading to unused mechanic capacity, overbooking at peak times and lack of visibility into average repair duration per job type
  • Insufficient support for the EV transition: dealers lack tools for range simulation, charging advice, incentive calculations and planning charging infrastructure at their own locations
  • Limited insight into customer lifetime value because sales data, service history and communication records sit in different unconnected systems

Our solutions

  • Modern Dealer Management System (DMS) with integrated CRM, workshop scheduling with capacity optimisation, parts logistics and financial administration in a single platform. The system provides complete customer history from first contact through years of after-sales relationship
  • Connected car platform translating vehicle telemetry via OBD-II dongles or manufacturer APIs into maintenance alerts, service offers and proactive appointment scheduling. Fault codes are automatically linked to repair procedures and required parts
  • Multi-location inventory management with AI-driven pricing for used vehicles based on market data from major listing platforms, including dealer stock sharing so the entire network functions as one inventory for customers
  • Omnichannel customer journey platform with online configuration, showroom appointment booking, digital finance application, test drive reservation and digital handover, allowing customers to continue on any channel where they left off
  • API integrations with manufacturer systems for warranty claims and parts ordering, vehicle registries for registration data and roadworthiness records, insurers for damage repair and finance companies for lease contracts
  • Workshop scheduling module with capacity optimisation per mechanic and bay, estimated repair duration based on historical data, and automated customer communication about progress and collection time
  • EV transition toolkit with range simulation, customer charging advice, incentive calculations, charging infrastructure planning for dealer locations and energy management for on-site charging points

Benefits

  • Considerably higher workshop utilisation through predictive maintenance based on vehicle telemetry and optimised workshop scheduling that maximises mechanic capacity and minimises customer wait times
  • Faster vehicle turnover through data-driven pricing based on current market data and inventory rotation optimisation that ensures vehicles do not remain in stock too long and are offered at the right price point
  • Higher customer satisfaction through a seamless omnichannel experience from online browsing to years of after-sales relationship, where the customer is recognised at every touchpoint and receives relevant communication
  • Better margins on used vehicles through AI-driven market price analysis that optimises purchase prices, selling prices and days in stock based on supply and demand data from the market
  • Successful EV transition through tools that enable the sales team to advise customers on range, charging options and total cost of ownership, increasing the conversion rate from EV interest to sale
  • Complete customer insight by connecting sales data, service history, communication records and vehicle telemetry in a single profile, enabling personalised marketing and service based on the individual customer relationship

Technologies

ReactNode.jsPostgreSQLAzure IoT

Our approach

Automotive projects start with an audit of your dealership operations, workshop processes, vehicle data streams and customer journey touchpoints. We inventory the existing DMS architecture, manufacturer integrations and connectivity requirements with vehicle registries, finance partners and insurers. Development begins with the module delivering the highest impact, typically DMS modernisation or connected car integration, and expands with inventory optimisation, omnichannel customer experience and EV transition tools. Each module is tested by your sales advisors, workshop planners and reception staff in daily practice. Legacy systems are phased out or exposed via API layers so operations are not disrupted during the transition.

How to measure success?

Key metrics for automotive software include workshop utilisation rate (percentage of used mechanic capacity), average vehicle sales cycle time from intake to delivery, customer satisfaction score after service (measured via NPS or CSAT), used vehicle inventory turnover speed (average days in stock), percentage of proactively scheduled service appointments based on vehicle telemetry, and EV conversion ratio (percentage of EV enquiries resulting in a sale). We monitor these KPIs through integrated dealer dashboards with breakdowns by location, brand and individual sales advisor.

Further reading

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Frequently asked questions

Yes, we build integrations with major DMS platforms and manufacturer systems. We also offer the option to gradually modernise your DMS by building an API layer that exposes existing data to modern frontends and mobile applications. For dealers ready for a full replacement we develop a bespoke DMS that aligns precisely with your workflows, brands and location structure.
The platform receives real-time telemetry data from vehicles via OBD-II dongles or manufacturer APIs: driving behaviour, wear indicators, fault codes, odometer readings and tyre pressure. This data is analysed to predict maintenance intervals and automatically suggest service appointments to the owner. Fault codes are linked to repair procedures and required parts so the workshop is already prepared when the vehicle arrives, increasing the first-time-fix rate and reducing repair duration.
Yes, we build solutions for car dealers, leasing companies, importers and fleet managers. Each party has specific modules but shares a common data infrastructure. Dealers work with sales, workshop and inventory. Leasing companies use contract management, damage handling and driver portals. Importers gain insight into dealer performance and inventory movements across the network.
The AI pricing model continuously analyses market data from major listing platforms and dealer networks to determine the optimal selling price per vehicle. Factors such as make, model, trim, mileage, condition, season and regional demand are weighted. The system also advises on timing for price adjustments: when a vehicle has been in stock too long, a price reduction is suggested that optimises margin against holding costs.
Yes, we build direct integrations with vehicle registry APIs for registration data, roadworthiness history, ownership information and vehicle specifications. When a vehicle is taken in, all relevant registry data is automatically retrieved and processed in the system. Roadworthiness expiry dates are linked to the service scheduling engine so customers are contacted in time for their inspection.
The software includes tools covering the full EV ecosystem: range simulation based on driving profile and route data, charging advice tailored to the customer's home situation and driving patterns, incentive calculations and a total cost of ownership comparison with a comparable combustion vehicle. For the dealer we provide planning and management of on-site charging infrastructure, including energy management and consumption reporting per charge point.
The omnichannel platform connects all customer touchpoints in a single continuous profile. A customer configuring a vehicle online can seamlessly book a showroom appointment. The sales advisor sees the online configuration and browsing history. After purchase the profile carries through to after-sales: service reminders, seasonal tyre changes and roadworthiness notifications are sent automatically based on vehicle data and customer preferences. Every interaction enriches the customer profile for more relevant communication.

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MG Software
MG Software
MG Software.

MG Software builds custom software, websites and AI solutions that help businesses grow.

© 2026 MG Software B.V. All rights reserved.

NavigationServicesPortfolioAbout UsContactBlogCalculator
ServicesCustom developmentSoftware integrationsSoftware redevelopmentApp developmentSEO & discoverability
Knowledge BaseKnowledge BaseComparisonsExamplesAlternativesTemplatesToolsSolutionsAPI integrations
LocationsHaarlemAmsterdamThe HagueEindhovenBredaAmersfoortAll locations
IndustriesLegalEnergyHealthcareE-commerceLogisticsAll industries