Connected navigation at vehicle scale
Hyundai and Kia
A multi-year, production-scale programme and connected navigation go-live across vehicle lines.
Read customer story12 selected customer stories · 80 representative solution cases
Public and anonymised stories show production patterns. A separate representative library explains every operating problem, stakeholder journey, evidence framework and working Mappls Pro application without presenting representative scenarios as named-customer claims.
Across industries
Customer identities are shown where publicly disclosed; other examples are intentionally described by sector.
Hyundai and Kia
A multi-year, production-scale programme and connected navigation go-live across vehicle lines.
Read customer storyMahindra
Go-lives across XUV3XO, Scorpio-N, XUV400 and born-electric programmes.
Read customer storyHero, Bajaj, Suzuki, Ultraviolette and Ampere programmes
Production go-lives across premium, mass-market, ICE and electric two-wheeler models.
Read customer storyUP Police Dial 112
State-scale go-live connecting location intelligence with public-safety workflows.
Read customer storyLarge city programme
A decision-ready spatial foundation for preparedness, mitigation and incident management.
Read customer storyE-commerce, D2C, food-delivery and ONDC participants
More accurate capture, better dispatch decisions and a clearer last-mile customer journey.
Read customer storyBanks, NBFCs, fintech and insurance programmes
Faster decisions and more accountable field execution across dispersed teams.
Read customer storyMetals, chemicals, automotive and employee-transport operations
Better driver coaching, incident evidence and safety oversight across complex fleets.
Read customer storyPaints, FMCG, durable and retail programmes
Sharper expansion planning, territory design and store-level sales forecasting.
Read customer storyNational-highway programme
A common, scalable operating picture across 25 regional offices.
Read customer storyDefence programmes
Secure access to decision-ready geospatial context without dependence on public-cloud connectivity.
Read customer storySchool networks
A more transparent and accountable school transport operation.
Read customer storyThe strongest programmes begin with a clear operational or customer problem, then bring together the minimum data, platform, device and change required to solve it. They do not start with technology theatre.
Representative solution case library
Each representative case separates the operating problem, stakeholder journey, before-and-after model, role moments, architecture, evidence plan and measurable outcome—and leads into the configured Mappls Pro application.
Showing 80 of 80 solution cases
Incomplete property registers, unassessed/under-assessed properties, fragmented maps and field records constrain own-source revenue and service planning.
Non-standard addresses cause service-delivery failures, emergency delays, duplicate properties and difficult citizen/business onboarding.
Legacy cadastral maps, boundary uncertainty and disconnected ownership/asset records create disputes, encroachment and planning delays.
Planning, approvals, assets and projects are managed in disconnected layers, limiting scenario analysis, coordination and citizen service.
Video, sensors, incidents and field units are fragmented, so operators lack a common operational picture and response accountability.
Caller location uncertainty, suboptimal dispatch and weak fleet visibility increase response time and make SLA control difficult.
Manual alarms, fragmented resource databases and non-optimised dispatch slow response and limit preparedness for high-risk premises.
Congestion, violations and incidents are managed across disconnected devices and weak location context, limiting real-time control and evidence-led planning.
Limited fleet visibility, weak schedule adherence, safety incidents and poor passenger/parent information reduce utilisation and trust.
Vehicle, route, temperature and delivery exceptions are visible too late, causing leakage, SLA failures and high control-room effort.
Inspection evidence, condition history and maintenance priorities are fragmented, making risk-based intervention and audit difficult.
Asset location, connectivity, drawings and maintenance records are inconsistent, raising outage, safety, planning and field-productivity risk.
Hazard, exposure, asset and response data are fragmented, limiting preparedness, prioritisation and rapid situational awareness.
Illegal extraction/transport, uncertain lease boundaries and disconnected permit, vehicle and imagery data cause revenue leakage and weak enforcement.
Visitors struggle with discovery, navigation, itinerary, crowd/safety and trusted local information; authorities lack destination analytics.
Coverage, quality, drive-test, complaints and infrastructure data are fragmented, making regulatory and investment decisions hard to verify spatially.
Mission data, terrain, imagery, sensors and operational workflows need secure, sovereign, offline-capable geospatial integration.
Facility, beneficiary, disease/service and travel-access data are not consistently spatialised, limiting network planning and citizen access.
Airside/landside assets, projects, drawings, incidents and maintenance are managed across systems without a shared spatial operational layer.
Large distributed property portfolios lack verified boundaries, current occupancy/lease data and transparent workflows, enabling encroachment and revenue leakage.
OEMs need India-optimised navigation, connected services, EV routing and ADAS-grade map content with production lifecycle support.
Teams depend on fragmented or costly global location services and inconsistent India address/map quality, slowing product and operations.
Licensed/regulated cultivation is difficult to verify consistently across plots, crop stages, yield and field inspections.
OEMs need differentiated, localised navigation that remains accurate across vehicle life while meeting SOP, cost and quality gates.
Vehicle, app and cloud journeys are fragmented, limiting remote services, safety, ownership engagement and monetisation.
Camera/sensor-only systems lack horizon context and consistent road intelligence, while fleets and agencies need actionable risk maps.
EV drivers and fleets face charging uncertainty, range anxiety and fragmented charger/vehicle data.
Two-wheeler riders need glanceable, safe navigation and connected experiences within tight screen, compute and connectivity constraints.
Automotive programmes require traceable map coverage, update cadence and defect closure across models and regions.
Poor pickup precision, dispatch, ETA and multimodal planning create cancellations, idle time and weak marketplace liquidity.
Ambiguous addresses, poor geocoding, inaccurate ETA and inefficient rider routing increase cost and failed deliveries.
Manual planning and disconnected transporter, order and route data inflate kilometres, empty runs, detention and planning effort.
Fleet location, utilisation, trip, delay and exception data are fragmented across devices and operators.
Unsafe driving and incidents are reviewed after the fact, with limited context or coaching closure.
Non-powered and mobile assets are under-utilised, misplaced or maintained reactively because location and state are not visible.
Temperature, fuel, chamber and equipment conditions are not continuously evidenced, creating loss, fraud and compliance exposure.
Managers lack reliable job allocation, field visibility, route efficiency, proof and productivity insight across distributed teams.
Territories, beats and outlet coverage are often inherited rather than built from current demand, travel and market potential.
Site decisions depend on fragmented catchment, competition and cannibalisation assumptions, while store networks need location-aware performance diagnostics.
Weak address/location evidence drives onboarding friction, fraud, inefficient collections and poor branch/agent planning.
Motor risk and claims decisions lack continuous driving, road and location context, while assistance dispatch is slow.
Network, fiber, tower, customer and field-work data are split across systems, slowing rollout and repair while hiding coverage gaps.
Field teams, doctor/chemist coverage and healthcare distribution are planned with incomplete location and potential data.
Outlet universes, rural potential, distributor territories and beats are incomplete or stale, limiting numeric distribution and productive coverage.
Consumers abandon or mistrust journeys when search, nearby discovery, serviceability, ETA and delivery context are inaccurate.
Plants and yards lack a current spatial operational layer linking assets, vehicles, people, incidents and workflows.
High-volume material movements suffer from dispatch delay, truck queues, route risk, turnaround variability and weak delivery evidence.
Tankers, chambers, routes, pipelines, depots and field assets carry safety, theft, loss and compliance risk across fragmented systems.
Berth, vessel, yard, rail, truck and asset information is fragmented, constraining common situational awareness and throughput decisions.
Travellers struggle to discover, plan, navigate and transact across fragmented destination content and physical locations.
Property discovery, valuation, site diligence and portfolio decisions use inconsistent address, neighbourhood, access and development context.
Campaign targeting and measurement lack reliable geographic audiences, store/trade-area context and offline outcome linkage.
Visitors and staff lose time in complex venues, while indoor assets and services remain disconnected from digital journeys.
Teams need reliable India location capabilities without building and maintaining map, search, routing and geospatial infrastructure.
Consumers need trustworthy navigation, local discovery, safety alerts and connected-device journeys tuned to Indian roads and places.
Farm, crop, dealer and field activity data are fragmented, limiting monitoring, input distribution, service delivery and risk response.
Assets, corridors and sites lack current, measurable ground truth, making inspection, planning and change detection slow and costly.
Critical decisions ignore spatial relationships because business, sensor and external geospatial data are not modeled together.
Mission-critical and regulated teams need modern map/GIS capability without foreign dependency, public-cloud exposure or continuous connectivity.
Operational tracks, charts, intelligence, weather/ocean and mission workflows remain split across secure systems.
Users and operators need intuitive spatial guidance and context that conventional 2D interfaces cannot deliver.
OEMs, distributors and solution providers need certified tracking/sensor hardware and a scalable platform without building the full stack.
Fleet toll spend, tag status, route cost and compliance are reconciled manually, obscuring leakage and lane economics.
Organisations cannot consistently connect route, fleet, facility and land-use decisions to auditable emissions and climate outcomes.
Institutions lack integrated campus maps, visitor/asset workflows and safe, transparent student/staff transportation.
Customer and lead locations must be assigned to the right serviceable branch and product while respecting branch catchments, approved villages, exclusions, risk zones, distance and changing business rules.
Noisy or incomplete addresses and weak device-location evidence create false rejections, manual reviews, fraud exposure and inconsistent onboarding or field-verification outcomes.
Accounts, agencies, field officers, customer interactions, promises to pay, payments, conduct controls and recovery performance are fragmented across bank-specific systems and manual processes.
Property valuation, approved-project finance and legal due-diligence cases rely on disconnected parties, documents, site visits, approvals and benchmarks, slowing credit decisions and weakening risk visibility.
Territories and sectors are manually maintained, overlap, drift from market reality and create uneven workload, unclear ownership, gaps in coverage and poor accountability.
Brands lack a trusted view of existing versus potential outlets, outlet quality, distributor ownership, market potential and the field actions required to convert white space into productive coverage.
Service tickets, technicians, assets, attendance, parts, routes, task proof and productivity are split across systems, leaving managers with weak control and field users with avoidable travel and manual steps.
Vehicle requests, material requirements, resource schedules, compliance checks, trip execution, delays, documents, cost allocation and closure verification are handled across disconnected tools and stakeholder groups.
Bookings, consignments, hub scans, first-mile pickup, middle-mile trips, last-mile dispatch, riders, payments, proof and exceptions must operate as one lifecycle rather than isolated systems.
Drivers on high-exposure routes need more than shortest-path navigation: hazards, road conditions, restricted stretches, safe parking and emergency facilities must shape the route and active guidance.
Public maps do not contain changing internal roads, plots, buildings, departments, parking, restrictions, assets, assembly points and shuttle operations required to navigate complex private sites.
Variable station demand, battery state and vehicle movement create queues, low utilization, poor battery turn ratios and inefficient redistribution routes.
Subscribers need a clear, trusted way to understand technology-specific coverage and nearby stores or service locations, while network teams need controlled publishing from changing prediction data.
Enterprise apps need users to discover and navigate to proprietary locations and records with rich business attributes, without exposing the private dataset to other projects or rebuilding spatial search.
Organizations need to plan employee access and commute, operate routes and shuttles, monitor vehicles and proactively reduce driver and passenger safety risks.
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