Baseline
Agree the current volume, time, cost, failure, risk or revenue metric before implementation.
P34 · Safety, Emergency & Security
Unsafe driving and incidents are reviewed after the fact, with limited context or coaching closure.
Use it in Mappls Pro
Review ADAS and driver-monitoring events, verify AI video, reconstruct incidents, coach drivers and track fleet safety improvement. Use a one-click demo profile, enter as Safety manager, Incident reviewer, Driver coach or choose another application-specific role.
Customer and operating context
The executive question
Can you identify and coach the riskiest driver-route combinations before the next incident?
The Mappls response
AI dashcam/MDVR, ADAS/DMS events, video evidence, harsh-driving analytics, risk scoring, coaching workflow and journey risk integration.
Mappls connects proprietary map and location intelligence with ai dashcam/mdvr, adas/dms events, video evidence, harsh-driving analytics, risk scoring, coaching workflow and journey risk integration. We start with one measurable workflow, prove the operating impact, and scale through reusable data, APIs and SaaS rather than a one-off implementation.
Value and ROI hypothesis
Fewer preventable incidents; lower claims/downtime; better coaching completion and evidence availability.
Agree the current volume, time, cost, failure, risk or revenue metric before implementation.
Measure data fit, workflow completion, coverage, adoption and decision speed during the proof.
Translate the operating improvement into revenue, cost, risk, service or asset-utilisation impact.
Use agreed success criteria to choose production scope, ownership and commercial model.
Departments and operating ownership
Owns the business or mission outcome and defines where Video Telematics, ADAS & Driver Safety creates measurable value.
Translates the desired outcome into product, service, workflow and adoption requirements.
Connects users, operational data and day-to-day decisions so the capability becomes part of real work.
Provides the data, integration, security and governance foundation required for trusted production use.
Measures performance, risk, compliance and continuous improvement after deployment.
Programme readiness
Proof of value
8-week cohort with calibrated events, evidence workflow, driver risk score and coaching cycle.
8-week cohort with calibrated events, evidence workflow, driver risk score and coaching cycle.
Event precision accepted; coaching SLA achieved; risky events/1,000 km trend improves; privacy/security passed.
Why Mappls
Map context, road risk, vehicle telemetry and video events combined for India operating conditions.
AI video, ADAS/DMS events and evidence
Product detailsLive/historical traffic, ETA and safety/road events
Product detailsMarket, territory, network and spatial decision analytics
Product detailsLane, road attribute, risk and predictive horizon data
Product detailsCommercial path
Device + per-vehicle/month SaaS + managed review option.
Expansion path
Camera/sensor-only systems lack horizon context and consistent road intelligence, while fleets and agencies need actionable risk maps.
ExploreFleet location, utilisation, trip, delay and exception data are fragmented across devices and operators.
ExploreMotor risk and claims decisions lack continuous driving, road and location context, while assistance dispatch is slow.
ExploreTankers, chambers, routes, pipelines, depots and field assets carry safety, theft, loss and compliance risk across fragmented systems.
ExploreYour outcome, powered by Mappls
We’ll help define the smallest proof that can answer the production decision with credible evidence.