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Governed field & fuel logistics at scale
Telecom infrastructure logistics runs across two distinct operational phases. During network rollout, hundreds of sites need coordinated equipment delivery across multiple vendors, regional hubs, and last-mile carriers. Once the network is live, every tower site depends on diesel reaching it on schedule, with the governance to prove it did. Both phases carry the same consequence when logistics breaks: network reliability takes the hit.
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 brings structure to telecom field logistics through CADDIE, its AI-powered intelligence layer. CADDIE reads live signals from van telematics, tank sensors, fuel card transactions, and site visit records, turning them into planned, governed, auditable action across beat planning, van visibility, fuel governance, geofenced field execution, and volume reconciliation.
Calculates fuel requirements from tank balance, generator runtime, and site-level consumption rates, replacing manual estimation.
Optimises routes using GIS-based site sequencing to reduce total kilometres without reducing site coverage.
Validates every field visit against location through geofenced check-ins and attributes every action to an individual via role-based access.
Lets operations leaders query van location, refuelling status, and site execution across hundreds of thousands of sites in real time.
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.
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.
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.
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.
Shared credentials and self-reported site visits make individual field accountability impossible. Pilferage goes undetected and compliance records are reconstructed under audit pressure.
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.
reduction in route kilometres
faster beat planning
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 within 10 weeks
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%.
O futuro das cadeias de suprimentos é autônomo — autossensível, autodecisório, auto-otimizado. O seu começa aqui.


