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Industries
Telecom field logistics & beat planning software
CADDIE is field logistics software for telecom tower operators that builds beat plans from tank and runtime data, optimises van routes, and validates every site visit with geofenced check-ins.
The Industry
Telecom logistics has two phases: equipment delivery to hundreds of sites during rollout, then diesel on schedule to every live tower site. When either breaks, network reliability takes the hit.
What We See
Where Telecom logistics breaks down
Beat planning runs on manual estimation. Fuel requirements are calculated without tank balance, runtime, or site-level consumption data, producing inaccurate schedules and missed refuelling visits.
Routes are unoptimised. Field vans run excess kilometres across the network, inflating cost without improving site visit reliability or coverage.
Site visits are self-reported. With shared access credentials and no geofenced validation, individual field accountability is impossible and audit trails cannot be reconstructed.
Depot-to-site volume reconciliation runs after the cycle, not within it. Pilferage is absorbed into OPEX and surfaces only under audit pressure.
Enmovil's Response
CADDIE, Enmovil's AI intelligence layer, reads van telematics, tank sensors, fuel card transactions and site visit records. It turns them into governed, auditable beat planning, fuel governance, field execution and volume reconciliation.
Data-driven beat planning
Calculates fuel requirements from tank balance, generator runtime, and site-level consumption rates, replacing manual estimation.
Dynamic route optimisation
Optimises routes using GIS-based site sequencing to reduce total kilometres without reducing site coverage.
Geofenced field execution
Validates every field visit against location through geofenced check-ins and attributes every action to an individual via role-based access.
Conversational operations
Lets operations leaders query van location, refuelling status, and site execution across hundreds of thousands of sites in real time.
The Challenge → How Enmovil Responds
Each gap, and how CADDIE closes it
The Challenge
Beat planning built on manual estimation and field calls produces inaccurate schedules, missed visits, and refuelling triggered by fuel-out events rather than planned uptime cadence.
How Enmovil Responds
CADDIE calculates fuel requirements automatically from tank balance, runtime, and consumption data, producing data-driven beat plans that keep sites on schedule and reduce missed visits.
The Challenge
Field vans run unoptimised routes across the network. Kilometres inflate without improving coverage, and there is no route-level data to identify where cost is being absorbed.
How Enmovil Responds
GIS-based route optimisation with dynamic site sequencing brings planning time from days to minutes and removes unproductive kilometres without reducing the number of sites visited per cycle.
The Challenge
Shared credentials and self-reported site visits make individual field accountability impossible. Pilferage goes undetected and compliance records are reconstructed under audit pressure.
How Enmovil Responds
Geofenced site check-ins, role-based access, automated variance detection, and continuous depot-to-site reconciliation bring individual accountability and fuel governance into every field touchpoint.
Capabilities
CADDIE modules for Telecom logistics
Beat PlanningVan VisibilityFuel GovernanceRoute OptimisationVolume ReconciliationField ExecutionVendor Billing AuditCADDIE
See It In Production
30%
reduction in route kilometres
80%
faster beat planning
98%+
on-time site execution
India's largest tower operator cut route kilometres by 30%, accelerated beat planning by 80%, and achieved 98%+ on-time site execution across hundreds of thousands of DG-dependent sites.
Hardware-free · Live in 4–6 weeks
FAQ
Telecom logistics software: FAQs
Still weighing a rollout? Talk to our team about how this maps to your network.
CADDIE calculates fuel requirements automatically from tank balance, generator runtime, and site-level consumption data rather than manual estimation. The result is a data-driven beat plan that keeps sites on schedule and reduces missed refuelling visits — accelerating planning by 80%.
다음 단계
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