NEURALHAWK SOLUTIONS
Engineered outcomes for Automotive
Data, AI and enterprise platforms that move OEMs, suppliers and dealer networks from dashboards to decisions.
A Services Capabilities Overview · 2026
Who we serve
Built for the automotive value chain
OEMs
Vehicle makers modernizing SAP, rationalizing data, and operationalizing AI across plant, product and channel.
Tier-1 & Tier-2 Suppliers
Component manufacturers squeezed on margin and SLAs — we unify ERP, MES and quality data into a single pane.
Dealer Groups & Networks
Multi-rooftop operators looking for unified CRM, service and sales insight across franchises and geographies.
Mobility & EV Startups
Connected-vehicle, fleet and EV charging players who need go-live-grade data platforms and full-stack apps.
One engagement pattern: we plug into your existing SAP/DMS/cloud estate, wire up data + AI, and ship the business-facing apps and dashboards your teams actually use.
The Automotive CXO agenda
Five pressures every executive is funding right now
EV & Powertrain Transition
New platforms, new data models, legacy systems that weren't designed for BEV product structures or battery telemetry.
Supply-Chain Resilience
Chip, battery and logistics volatility — demand sensing, supplier risk and S&OP agility are no longer optional.
Dealer & Customer Digitization
Omnichannel buying, online service booking, connected-customer expectations rising faster than DMS stacks evolve.
Aftersales Margin Compression
Service retention, warranty leakage, parts forecasting — margin moves here, but data sits in silos.
Connected Vehicle & Software
Telemetry, OTA, driver apps — software is now a product line, not a feature, and needs product-grade engineering.
Our thesis
All five are, underneath, data + AI + application problems. Solve the stack once, compound the payoff across the agenda.
How we deliver
One enterprise data value chain — five capabilities, working as one
1
SAP
System of record — ERP, S/4, MM, PP, FI/CO, EWM
2
Data Management
Lakes, warehouses, pipelines, governance, MDM
3
Power BI
Exec dashboards, dealer scorecards, self-serve BI
4
AI / ML
Forecasting, vision, NLP, generative AI, voice
5
Custom Apps
MERN · PERN · Go · mobile — where users live
Why the chain matters: a dashboard without a data layer is a lie, an AI model without instrumentation is a demo, and an app without ERP context is a silo. We own the whole chain so outcomes don't fall between vendors.
Solutions for automotive
Four outcomes, shipped end-to-end
Each solution maps directly to a P&L owner. Each stands alone, but they compound when deployed together.
Solution 01
Dealer & Sales Modernization
For: VP Sales · Head of Dealer Ops · CMO
01
Unified dealer data layer — ingest from DMS, CRM, lead-gen and SAP into one governed model.
02
Executive & dealer-principal Power BI — sales funnel, test-drive conversion, stock-age, finance attach, CSI.
03
Custom CRM & lead apps on MERN / PERN — omnichannel capture, dealer assignment, SLA workflows.
04
AI lead scoring & next-best-action — prioritize walk-ins, digital leads and repeat-buyer triggers.
What a CXO gets
A single view of dealer performance, from stock turn to first-service retention — with the apps and incentives aligned behind it.
Typical KPI moves
Lead-to-delivery cycle · Stock-age days · Finance & insurance attach rate · Dealer CSI · Repeat-buyer share.
SAP SD/CRM
Data
Power BI
AI scoring
MERN / PERN
Solution 02
Manufacturing & Supply-Chain Intelligence
For: COO · Head of Manufacturing · CSCO
01
SAP S/4 modernization support — MM, PP, EWM, QM — data harmonization, reports, extensions.
02
Plant & supplier data platform — SAP + MES + quality + supplier portals into one source of truth.
03
Executive Power BI for ops — OEE, OTD, PPM, supplier scorecards, landed-cost and margin walks.
04
ML demand sensing & supplier-risk — short-cycle forecasts, alt-part suggestions, disruption alerts.
What a CXO gets
A plant-to-board view of production, supply and cost — with ML sitting on top of SAP, not instead of it.
Typical KPI moves
OEE uplift · OTD to dealer · PPM defects · Inventory days · Expedite & premium-freight spend.
SAP S/4
Data lake
Power BI
AI / ML
Go
Solution 03
Aftersales & Service Intelligence
For: Head of Aftersales · CXO of Customer · Warranty & Parts leaders
01
Service & warranty data hub — workshop, DMS, telematics, parts and claim systems, unified.
02
Predictive maintenance & warranty ML — flag early-failure patterns, reduce leakage, prioritize recalls.
03
Generative-AI voice for service booking — inbound/outbound voice agents for appointments, reminders, CSAT.
04
Power BI for aftersales margin — retention, labor efficiency, parts forecast, service-advisor scorecards.
Proven pattern — not a pitch
We've already shipped Power BI + GenAI voice for a US healthcare client (Imperial Health). The playbook maps directly to dealer service desks and warranty ops.
Typical KPI moves
Service retention · Warranty leakage · Parts fill-rate · First-time-fix · Booking no-show rate.
Data hub
GenAI voice
Power BI
Predictive ML
Solution 04
Connected Vehicle & Data Platforms
For: CDO · VP Connected Vehicle · Head of Digital Product
01
Real-time telemetry ingestion — Go-based services handling vehicle event streams at fleet scale.
02
Lakehouse & feature store — governed, versioned data ready for ML, BI and downstream apps.
03
Driver & fleet-manager apps — mobile + web, connected-customer experiences on MERN/PERN.
04
AI on top of the platform — anomaly detection, driver scoring, battery-health, usage-based insurance signals.
What a CXO gets
A connected-vehicle data stack you can actually build products on — not just a warehouse you dump telematics into.
Why our portfolio maps here
Real-time scale from gaming (GTech) + subscriber-grade CRM from telecom (T-Mobile) = the pattern automotive connected platforms need.
Go · real-time
Lakehouse
Power BI
AI / ML
Mobile apps
The capability stack
Everything in one place, so there's no hand-off risk
SAP
S/4HANA · ECC · MM · PP · SD · FI/CO · EWM · QM · migration & integration
Data Mgmt
Lakes & warehouses · ETL / ELT · MDM · governance · Snowflake · Databricks · Azure · AWS · GCP
Power BI
Executive dashboards · dealer scorecards · semantic models · embedded analytics · paginated reports
AI / ML
Forecasting · vision · NLP · Generative AI · Voice agents · MLOps
App Dev
MERN · PERN · Go · Python · Java · .NET · mobile (iOS / Android / React Native)
Cloud & DevOps
Azure · AWS · GCP · Kubernetes · CI/CD · IaC · observability
QA & Security
Automation testing · performance · SAST/DAST · data privacy (GDPR / UNECE R155 aware)
Experience
UX research · design systems · accessibility · design-to-code workflows
Single accountability: one partner owns strategy, data, AI, app and run — so outcomes don't stall at vendor boundaries.
Cross-industry proof
We've stress-tested this stack in industries harder than automotive
Imperial Health
US Healthcare |
Power BI implementation & Generative-AI voice services in a regulated, patient-data environment. |
→ Automotive parallel: executive dashboards + GenAI voice for dealer service booking, aftersales IVR, and connected-car driver assistants under UNECE R155 / GDPR-grade data privacy. |
T-Mobile
US Telecom |
Subscriber-scale CRM, data pipelines and churn analytics. |
→ Dealer networks, customer-retention ML, loyalty & finance-attach programs at OEM scale. |
GTech
Gaming |
Real-time platforms engineered for massive concurrent users and event throughput. |
→ Connected-vehicle telemetry, OTA event pipelines, fleet-scale ingestion on Go services. |
Education sector
Multi-tenant SaaS |
Role-based dashboards and multi-tenant data models across institutions. |
→ OEM → dealer → customer hierarchies, franchise-level BI rollups, dealer-principal self-serve reporting. |
The point isn't the logos — it's the pattern. The same capabilities that run healthcare voice, telecom CRM, gaming real-time and education SaaS are the ones automotive needs next. We bring the playbook; you don't pay for the learning curve.
How we engage
Four engagement models, chosen to fit the work
Best when
Dedicated Pods
Long-running outcomes (data platform, BI practice, connected-vehicle product). Cross-functional squad — architect, data, AI, app, QA — embedded with your team.
Best when
Fixed-Bid Projects
Well-defined scope — an SAP extension, a Power BI practice rollout, a specific AI use case. Milestone-based delivery, predictable cost.
Best when
Time & Materials
Discovery, evolving scope, proof-of-concepts. Senior talent on-demand, weekly reporting, easy to scale up or down.
Best when
Managed Services
Run & evolve mode — SAP support, BI platform ops, ML model retraining, app sustenance. SLA-backed, outcome-priced.
Most automotive clients blend two: a pod to build the platform, and managed services to keep it healthy — while fixed-bid projects handle the solution add-ons.
Delivery approach
How the work actually ships
Outcome-first discovery
2–4 week scoping that defines the P&L metric, data sources, user journey and the 90-day value milestone.
Agile with guardrails
Two-week sprints, explicit definition-of-done, weekly CXO readouts — no "we'll demo in Q3" surprises.
Security & privacy by default
Data classification, secrets management, SAST/DAST, regulated-industry muscle from healthcare/telecom baked in.
DevOps & platform engineering
IaC, CI/CD, observability and cost guardrails — so day-2 operations are cheaper than day-1 delivery.
Global delivery
India-anchored engineering with onshore orchestration; follow-the-sun when pace matters.
AI/ML lifecycle
From use-case selection to MLOps: feature store, eval harness, drift monitoring, human-in-the-loop.
Value tracking
Every engagement ships with a KPI dashboard — the same Power BI we build for you is how we report progress.
Time-to-first-value
90 days is the target for the first business-visible outcome — dashboard live, app in UAT, or model in production.
Why Neuralhawk
Three reasons automotive leaders pick us over larger SIs
1
Full-stack, under one roof
SAP, data, Power BI, AI/ML and custom apps from the same partner — not four vendors with finger-pointing SLAs. The value chain is owned end-to-end.
2
Pattern library, not learning curve
Real deliveries in healthcare (Imperial Health), telecom (T-Mobile), gaming (GTech) and education. We reuse the patterns; you skip the tuition.
3
Senior-heavy, outcome-obsessed
You get architects and staff engineers on the call — not a pyramid. 90-day value is a commitment, not a marketing line.
NEURALHAWK SOLUTIONS
Let's pick one outcome and ship it in 90 days.
Dealer scorecard. SAP-to-BI data layer. A GenAI voice pilot for service booking. Start with one — prove the stack — expand the agenda.
Talk to us
Neuralhawk Solutions Pvt Ltd
neuralhawk.ai
bhuvanesh@neuralhawk.ai
A good first meeting
Bring one metric that's stuck. We'll come back with a 90-day plan, the pod that delivers it, and the KPI dashboard we'll report progress on.
Thank you