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Digitise the automotive chain from supplier to service bay

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We modernise dealer systems, workshops, warranty processes and connected vehicle data for OEMs, dealer groups and tier suppliers.

Parts list

  1. DMS modernisation
  2. Digital workshop
  3. Warranty claims platform
  4. Connected vehicle data platform
  5. OTA update pipeline
  6. Supplier quality portal
Project
Automotive
Discipline
Digital transformation
Drawn by
Nexzem engineering
Scale
Not to scale

Automotive data is everywhere, and mostly unused

An OEM sees vehicles leave the plant, then loses sight of them until a warranty claim arrives. Dealers run their own DMS versions, workshops still write job cards by hand and photograph them for the claim, and parts managers reorder from memory. Tier suppliers exchange PPAP documents and quality alerts through email chains. Each link holds data the next one needs.

The regulatory picture is tightening. Commercial vehicles need AIS-140 compliant tracking, BS-VI vehicles expose OBD-II diagnostics, Bharat NCAP raises safety documentation needs, and exporters face UNECE WP.29 R155 and R156 rules for vehicle cybersecurity and software updates. EV makers manage subsidy claims under government schemes and, for European markets, upcoming battery passport requirements.

Nexzem works across this chain in connected pieces. For dealers we digitise sales and the service bay; for OEMs we build warranty and connected vehicle data platforms; for suppliers we create quality and document portals. A shared vehicle and part identity links them, so a fault seen in a workshop can be traced back to a production batch.

Automotive, drawn as a phased roadmap

Workstreams down, phases across. An illustrative sequence; your roadmap is set after the first audit.

Ph 1

Ph 2

Ph 3

Ph 4

Ph 5

  1. DMS modernisation
    Phases 1 to 2
  2. Digital workshop
    Phases 1 to 2
  3. Warranty claims platform
    Phases 2 to 2
  4. Connected vehicle data platform
    Phases 2 to 3
  5. OTA update pipeline
    Phases 3 to 4
  6. Supplier quality portal
    Phases 3 to 3
  7. Parts demand forecasting
    Phases 4 to 5
  8. Predictive service
    Phases 5 to 5
  1. Ph 1

    Value chain assessment

    We map how vehicle, part and customer data move between OEM, dealers and suppliers today.

  2. Ph 2

    Common identity layer

    VIN, part number and dealer master data are cleaned so every system refers to the same records.

  3. Ph 3

    Dealer and workshop pilot

    DMS and digital workshop features go live with a few dealers to prove adoption.

  4. Ph 4

    Warranty and supplier rollout

    Warranty and supplier quality platforms connect workshop findings to production.

  5. Ph 5

    Connected and predictive services

    Telematics, OTA and predictive models are added on top of the unified data.

Automotive transformation initiatives

Modernise dealer, workshop, warranty and connected vehicle systems for OEMs, dealer groups and component suppliers.

  1. 01

    DMS modernisation

    Cloud dealer management covering enquiries, test drives, bookings, finance and insurance desks, vehicle allocation and invoicing, replacing disconnected dealer-level installations.

  2. 02

    Digital workshop

    Tablet job cards, vehicle check-in photos, digital estimates with customer approval links, technician time tracking and parts requests from the service bay.

  3. 03

    Warranty claims platform

    Structured claim submission with diagnostic codes and photos, automated policy checks, and analytics that flag repeat failures and suspicious claim patterns.

  4. 04

    Connected vehicle data platform

    Telematics ingestion from TCUs and AIS-140 devices, storing location, CAN signals and fault codes for fleet services, diagnostics and product engineering.

  5. 05

    OTA update pipeline

    Signed software packages, campaign targeting by VIN and variant, rollout monitoring and audit records aligned with UNECE R156 software update requirements.

  6. 06

    Supplier quality portal

    PPAP submissions, 8D problem reports, deviation approvals and supplier scorecards in one portal, replacing email trails between OEM and tier suppliers.

  7. 07

    Parts demand forecasting

    Spare parts forecasts by dealer using vehicle population, service intervals and failure trends, reducing stockouts and slow-moving inventory.

  8. 08

    Predictive service

    Models that read fault codes and usage data to predict upcoming service needs and prompt customers to book before a breakdown.

Why choose Nexzem for automotive transformation

  • R-01

    Faster workshop throughput

    Digital job cards and approvals cut waiting time for estimates and parts.

  • R-02

    Earlier defect detection

    Warranty and telematics analytics surface failure trends before they become recalls.

  • R-03

    Lower warranty cost

    Automated checks catch invalid or duplicate claims at submission.

  • R-04

    Compliance evidence

    OTA and cybersecurity records are kept in an auditable form for type approval.

  • R-05

    Closer supplier collaboration

    Quality issues move through one portal with clear ownership and deadlines.

How automotive transformation unfolds, phase by phase

Sheet P-01, delivery sequence

Clear stages with a review at the end of each, so you always know what happens next and what it costs.

  1. S1

    Value chain assessment

    We map how vehicle, part and customer data move between OEM, dealers and suppliers today.

  2. S2

    Common identity layer

    VIN, part number and dealer master data are cleaned so every system refers to the same records.

  3. S3

    Dealer and workshop pilot

    DMS and digital workshop features go live with a few dealers to prove adoption.

  4. S4

    Warranty and supplier rollout

    Warranty and supplier quality platforms connect workshop findings to production.

  5. S5

    Connected and predictive services

    Telematics, OTA and predictive models are added on top of the unified data.

Automotive transformation in practice

  • Detail A

    Digital workshop for a dealer group

    A dealer group replaces paper job cards with tablets, shares inspection photos and estimates with customers on WhatsApp for approval, and updates status automatically, shortening turnaround and improving service ratings across its workshops.

  • Detail B

    Warranty claims automation

    Warranty claims are assembled from job cards, photos and parts data, checked against manufacturer rules before submission and tracked to settlement, reducing rejections and recovering money that previously went unclaimed.

  • Detail C

    Group dashboard across brands

    A multi-brand dealer group consolidates data from several manufacturer DMS platforms into one dashboard, comparing sales, service and parts performance across showrooms without manual spreadsheet consolidation by accountants each month.

  • Detail D

    Predictive service from vehicle data

    A manufacturer uses connected vehicle data to predict service needs and alert owners and dealers before problems become breakdowns, increasing authorized service visits, parts sales and overall customer experience across the dealer network.

Digital Transformation for Automotive, in depth

Sheet N-01, general notes

N1

Where legacy systems hold automotive businesses back

Dealers often run a dealer management system supplied by each manufacturer, plus separate tools for service bookings, finance and insurance, parts and customer follow-up. Multi-brand dealer groups juggle several such systems with different data formats. Service advisors write job cards on paper, customers wait for phone updates and warranty claims are prepared manually against strict manufacturer rules.

Manufacturers and suppliers face their own gaps: vehicle data from connected cars sits unused, supplier quality issues are tracked in spreadsheets, and software updates for vehicles require secure, well-governed pipelines to meet regulations such as UNECE R155 and R156. Our automotive industry page describes these systems in more detail. Transformation in automotive usually starts at the customer touchpoints where revenue leaks, such as service retention and warranty recovery, before deeper data platforms.

  • N1.aPaper job cards and phone-based service updates.
  • N1.bSeveral DMS platforms in multi-brand groups.
  • N1.cManual warranty claims with frequent rejections.
  • N1.dService customers lost to independent garages.
  • N1.eConnected vehicle data that nobody uses.
  • N1.fSupplier quality issues tracked in spreadsheets.
  • N1.gParts stock out of line with real demand.
  • N1.hTest drive and sales follow-ups tracked inconsistently.
  • N1.iCustomer feedback collected on paper forms, if at all.
N2

A phased automotive transformation roadmap

For dealers, the first phase is often a digital workshop: online service booking, digital job cards with photos and approvals, status updates by WhatsApp and digital invoicing. Warranty claims platforms that check documents against manufacturer rules come next, improving recovery. Group dashboards across DMS platforms give leadership a single view of sales, service and parts.

For manufacturers, later phases build connected vehicle data platforms, secure over-the-air update pipelines, supplier quality portals and predictive service. Cybersecurity and software update regulations for vehicles shape these phases; this is general information, not legal advice. Our IoT development services support telematics and connected vehicle work.

  • N2.aPhase 1: digital workshop with online booking and job cards.
  • N2.bPhase 2: warranty claims automation.
  • N2.cPhase 3: group dashboards across DMS platforms.
  • N2.dPhase 4: parts demand forecasting and replenishment.
  • N2.ePhase 5: connected vehicle data and predictive service.
  • N2.fPhase 6: supplier quality and secure update pipelines.
  • N2.gOngoing: advisor and technician training.
N3

Measuring automotive transformation progress

Dealer transformation should increase service retention, workshop throughput and warranty recovery. Useful measures include service retention after the free service period, vehicle turnaround time in the workshop, warranty claim rejection rates, parts fill rates and customer satisfaction after service visits. Manufacturers track field failure rates, software update success rates, supplier defect trends and the share of service visits triggered by predictive alerts. Comparing dealers and plants on consistent measures shows where to roll out improvements next.

  • N3.aService retention after free services end.
  • N3.bWorkshop vehicle turnaround time.
  • N3.cWarranty claim rejection rate.
  • N3.dParts fill rate and stock age.
  • N3.eCustomer satisfaction after service.
  • N3.fOver-the-air update success rate.
  • N3.gSupplier defects per million parts.
  • N3.hShare of service bookings made online.

Technology for automotive transformation

Proven, well-supported tools chosen for your scale, budget and team, never for novelty.

  • React
  • Next.js
  • Java
  • Spring Boot
  • Go
  • Kafka
  • PostgreSQL
  • Databricks
  • Python
  • Azure

Automotive transformation FAQs

Something else on your mind? Ask a consultant and get a reply within one business day.

Can you work alongside our existing DMS vendor?

Yes. Many projects integrate with an existing DMS for core transactions while we build the digital workshop, customer apps or analytics that the DMS lacks.

Do you build in-vehicle software?

We focus on cloud platforms, apps and data pipelines around the vehicle: telematics ingestion, OTA campaign management, diagnostics dashboards and customer apps. Embedded ECU firmware is handled by your engineering team or specialist partners.

How do you support UNECE R155 and R156 requirements?

We design OTA and backend systems with signed updates, access control, logging and campaign records that support your cybersecurity and software update management systems. Certification remains with your organisation.

What determines the cost of an automotive transformation?

Cost depends on the number of dealers or suppliers onboarded, telematics data volume, integration with ERP, DMS and PLM systems, and analytics scope. A phased fixed quote follows a free consultation.

How long does a dealer pilot take?

A digital workshop and DMS pilot with a small dealer group usually takes 12-16 weeks, followed by network rollout in waves.

Can we transform our workshop without changing the manufacturer's DMS?

Yes. Digital workshop tools, customer communication and dashboards can integrate with existing DMS platforms through available interfaces or data exports, so dealers improve customer experience without breaching manufacturer requirements or replacing mandated systems, and keep data consistent across both.

How do you approach connected vehicle data privacy?

Vehicle location and driving data relate to owners, so platforms need clear consent, purpose limits, secure storage and controls on sharing with dealers or partners. We design data flows with privacy and applicable regulations in mind from the start, documenting every use of the data.

We work with clients across the USA, UK, Australia, UAE, New Zealand and India.

Where we work

Start with a clear roadmap.

Share where your systems and processes stand today. We reply within one business day with a suggested first phase.