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AKIJ BASHIR GROUP Electric Fleet Command Centre
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CONFIDENTIAL · BOARD OF DIRECTORS · FY 2026

The Electric Fleet Command Centre

An enterprise Vehicle Management System engineered to take the Akij Bashir Group commercial electric truck fleet from 2 trips per day to 5 trips per day — transforming utilisation, energy economics, maintenance discipline and executive visibility across every kilometre driven in Bangladesh.

Prepared for the Executive Management & Board Fleet Digitalisation Practice Dhaka · Bangladesh
AKIJ
STATE OF CHARGE 0%
TRIPS TODAY 0/ 5 target
PREDICTED RANGE 0km
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Engagement Structure

Twelve chapters. One operating truth.

This document moves from global market context to the operational reality of your yard, to the platform that closes the gap — and to the financial case the Board must sign.

01
Chapter One

The Future of the Commercial EV Fleet

The global freight industry is mid-way through the largest powertrain transition in a century. Bangladesh's industrial groups will either lead it or import it late and expensively.

  • Global electric commercial vehicle market
  • Why commercial EV, and why now
  • The fleet transformation curve
  • International benchmarks: OEMs and operators
Chapter 1.1 · Market Context

The commercial EV market is compounding, not creeping.

Global electric commercial vehicle deployment

Units on road, millions — actuals to 2025, outlook to 2032

Global e-truck CAGR to 2032 0% Medium & heavy duty segment
Fleet TCO parity reached 0 Urban distribution duty cycles
Energy cost advantage vs diesel 0% Per kilometre, Bangladesh tariffs
The strategic read. Hardware is no longer the constraint. Fleets that win are the ones with the software layer to extract every kilowatt-hour and every hour of vehicle availability.
Chapter 1.2 · Investment Logic

Six forces make the electric truck an operating decision, not a green gesture.

Energy cost / km৳ 6.10 vs ৳ 16.30 diesel
Moving parts in drivetrain~20 vs ~2,000
Scheduled service interval25,000 km vs 10,000 km
Tailpipe emissionsZero
Chapter 1.3 · Maturity Model

Electrification without digitalisation is an expensive lateral move.

Value is not released when the truck arrives. It is released when the truck becomes a connected, scheduled, measured asset. Hover any stage to see what changes.

Chapter 1.4 · Who Has Already Done This

Eight global operators. One shared conclusion.

Every large-scale electric fleet programme in the world pairs the vehicle with a control platform. None of them run electric trucks on paper.

02
Chapter Two

The Current Operating Reality

An honest diagnostic of where value leaks today — before a single line of software is proposed.

  • Ten structural challenges in the current fleet
  • The utilisation gap: why the day ends at 2 trips
  • The cost of inaction, quantified
Chapter 2.1 · Diagnostic

Ten challenges. Each one is a measurable cost line.

Select a challenge to see its operational signature and annualised impact on a 60-vehicle fleet.

Chapter 2.2 · The Core Problem

The truck is not slow. The day around the truck is slow.

A 24-hour reconstruction of a typical vehicle-day. Productive movement is the thin band. Everything else is recoverable.

Vehicle-day reconstruction · Current state vs VMS-optimised state

Minutes allocated across a 24-hour operating window, averaged across the fleet

Productive driving0hrs19% of the operating window
Idle & waiting0hrsLoading bay, gate, dispatch queue
Unscheduled charging0hrsAt peak tariff, unplanned
Recoverable capacity0%Addressable through scheduling
Chapter 2.3 · Value Leakage

৳ 8.4 crore leaves the fleet every year without anyone approving it.

Annualised value leakage · 60-vehicle commercial fleet

BDT lakh per annum, by leakage category

“Nothing in this list is fraud. It is the ordinary arithmetic of an un-instrumented fleet — a hundred small decisions taken without data, compounding for twelve months.”

Fleet Digitalisation Practice
Total annual leakage0lakh BDT≈ ৳ 8.43 crore per annum
Addressable by VMS in Year 10%≈ ৳ 5.98 crore recoverable
03
Chapter Three

The Vision — A Digital Fleet Command Centre

One room. One screen. Every vehicle, every driver, every kilowatt-hour, every taka — in real time.

  • The Command Centre concept
  • Four pillars: Smart, Connected, AI-driven, Paperless
  • Target operating model — before and after
Chapter 3.1 · The Vision

The Fleet Control Tower.

Every telemetry stream, work order, gate pass and charging session resolved into a single operating picture — refreshed every few seconds, owned by a named controller.

CONTROL
TOWER
Chapter 3.2 · Operating Principles

Smart. Connected. AI-driven. Paperless.

Chapter 3.3 · Before & After

Drag the handle. See the operating model change.

TODAY · MANUAL
    WITH VMS · DIGITAL
      04
      Chapter Four

      The Complete Vehicle Management System

      Eighteen production modules, one data spine, three mobile applications and an executive portal — deployed as a single platform, not a collection of tools.

      • Platform architecture
      • Eighteen functional modules
      • Fleet Overview dashboard
      Chapter 4.1 · Architecture

      A layered platform, built for a decade of fleet growth.

      Chapter 4.2 · Functional Scope

      Eighteen modules. Zero spreadsheets.

      Select any module for its capability set and the operational KPI it moves.

      Chapter 4.3 · Product · Screen 01

      Fleet Overview

      05
      Chapter Five

      Commercial EV & Battery Intelligence

      The battery is the single most valuable component in the fleet — and the only one that degrades while parked. It must be managed, not merely charged.

      • The fleet vehicle — SANY SE588kWh electric prime mover
      • Battery health, state of charge, thermal management
      • Charging optimisation, queueing and tariff arbitrage
      • Energy consumption, range prediction, regeneration
      Chapter 5.0 · The Asset

      The vehicle: SANY SE588kWh electric prime mover.

      Akij Bashir Group is deploying the SANY SE588kWh — a 6×4 battery-electric heavy tractor engineered for precisely the long-duty, high-utilisation cycle this platform exists to maximise.

      SANY · SE588kWh · 6×4 · Zero-Emission
      SANY SE588kWh electric prime mover AKIJ 588 kWh · MOTA
      Battery0kWhMOTA LFP pack
      Range / charge0kmSingle charge
      Peak power0HP480 kW · 2,800 N·m
      Fast charge0min20–80% · or 5-min swap

      Two variants, one platform

      Configured to the corridor and load profile

      COMPOSITE
      Gross combination80 t
      Curb weight12.6 t
      Best forDistribution & regional
      SUPER
      Gross combination120 t
      Curb weight14.3 t
      Best forHeavy haul & bulk
      MOTA battery. SANY's self-developed pack is rated for 4,500 charge cycles — the exact lifecycle variable this VMS is built to protect through depth-of-discharge, thermal and fast-charge governance.
      Rated motor power330 kW · 480 kW peak
      Rated torque1,370 N·m · 2,800 peak
      Tailpipe emissionsZero
      Chapter 5.1 · Battery Health

      Every cell pack, under continuous surveillance.

      State of health distribution

      Fleet-wide SoH, 60 packs

      Fleet mean SoH94.2%Warranty floor80.0%

      Live state of charge

      Selected vehicles, real time

      Pack thermal envelope

      Cell temperature vs safe band, °C

      Safe band15–35 °CAlerts today2

      Battery lifecycle management

      Predicted degradation curve with and without VMS-governed charging discipline

      +2.4 years of usable pack life protected by managing depth-of-discharge, thermal exposure and fast-charge frequency — worth ৳ 1.9 crore in deferred replacement across the fleet.
      Chapter 5.2 · Energy Economics

      Charge at the right hour, at the right speed, in the right order.

      Tariff-aware charging schedule

      Grid tariff (৳/kWh) against fleet charging load — unmanaged vs VMS-optimised

      Peak-hour load shifted78%Energy cost saving৳ 41.2 lakh / yr

      Live charging queue

      Depot 01 · Dhaka · 8 bays

      LIVE
      Chapter 5.3 · Consumption & Range

      Range anxiety is a data problem. We solve it with data.

      Energy consumption vs payload

      kWh / km against gross vehicle weight, 30-day sample

      Fleet mean1.08 kWh/kmBest driver0.91 kWh/kmWorst1.34 kWh/km

      Predictive range model

      Remaining range vs route demand — Dhaka → Narayanganj → Gazipur

      Model confidence±4.1 kmRegeneration recovery18.6%
      Regenerative braking recovery18.6% of traction energy
      Range prediction accuracy±4.1 km over 120 km
      Stranded-vehicle events since go-live0
      Energy per trip (avg)96 kWh
      06
      Chapter Six

      Fleet Operations & AI Dispatch

      This is where the second, third, fourth and fifth trip of the day are created.

      • The digital dispatch workflow, end to end
      • AI route optimisation and live tracking
      • Digital gate pass, QR dispatch, proof of delivery
      Chapter 6.1 · Process

      From order to proof of delivery in eight governed steps.

      Select any step to see the system action, the human action, and the minutes removed from the current process.

      Chapter 6.2 · Product · Screen 02

      Live Map & AI Dispatch

      Chapter 6.3 · Paperless Operations

      The gate pass, the challan and the delivery receipt become data.

      DIGITAL GATE PASSGP-2026-04871
      Vehicle
      DHK-METRO-TA 21-4409
      Driver
      Md. Rafiqul Islam · D-0142
      Load
      Cement · 9.4 T · Akij Cement Ltd
      Approved
      Digitally · 00:41 sec
      Gate clearance time14 min → 41 sec
      PROOF OF DELIVERYPOD-2026-11902
      Consignment scanned at destination14:22
      Geo-stamp verified · 23.7104 N, 90.4074 E14:22
      Recipient signature captured14:26
      Photograph attached · 3 images14:27
      Invoice released to finance14:27
      Received · M. Hossain, Store In-charge
      Invoice cycle6 days → same day
      Paper forms eliminated0typesGate pass, challan, trip sheet, fuel slip, job card…
      Approvals moved to mobile0%Role-based, time-stamped, auditable
      Admin hours released / month0hrsRedeployed to exception handling
      07
      Chapter Seven

      Maintenance & the Digital Workshop

      A vehicle in the workshop cannot make a fifth trip. Availability is a maintenance KPI before it is an operations KPI.

      • Preventive, predictive and corrective strategy
      • The digital workshop and job-card workflow
      • Downtime, spare parts and warranty recovery
      Chapter 7.1 · Strategy

      Move the fleet from breakdown-driven to failure-anticipating.

      TODAY · 64% of work

      Corrective

      The vehicle fails. The trip is cancelled. The workshop reacts. Parts are sourced under pressure at a premium.

      • Unplanned downtime
      • Premium spare pricing
      • Cancelled revenue trips
      Avg cost per event৳ 84,000
      TARGET · 22% of work

      Preventive

      Service triggered by kilometres, hours or calendar — scheduled into low-demand windows by the dispatch engine itself.

      • Auto-generated job cards
      • Parts reserved in advance
      • Zero surprise to operations
      Avg cost per event৳ 21,500
      TARGET · 14% of work

      Predictive

      Telemetry anomalies — pack thermal drift, motor current signature, brake regen decay — raise a work order before failure.

      • AI failure prediction
      • 7–21 day warning window
      • Repair at convenience, not crisis
      Avg cost per event৳ 12,900

      Maintenance mix migration · 24 months

      Share of total workshop hours by intervention type

      Chapter 7.2 · Product · Screen 03

      Digital Workshop

      Chapter 7.3 · Availability Economics

      Downtime is the most expensive line item nobody invoices for.

      Fleet availability trajectory

      % of fleet road-ready at 06:00 dispatch call

      Baseline78.4%Month 12 target94.0%Vehicles released≈ 9

      Spare parts & inventory intelligence

      Stock cover vs consumption, top 8 EV-critical parts

      Stock-outs / month11 → 1Working capital released৳ 34 lakh
      Mean time to repair3.1 days → 0.8 days
      Warranty claims recovered৳ 27 lakh / yr
      Job cards raised digitally100%
      Mechanic utilisation54% → 81%
      08
      Chapter Eight

      Driver & Staff Management

      The driver is the single largest variable in energy consumption, safety exposure and trip completion. Measure them fairly, and they will outperform the model.

      • Driver lifecycle — attendance to licence to training
      • Safety and efficiency scorecards
      • Ranking, reward and penalty framework
      Chapter 8.1 · Lifecycle & Apps

      One driver record. Four mobile applications.

      Chapter 8.2 · Product · Screen 04

      Driver Performance & Safety Scorecard

      09
      Chapter Nine

      Analytics & the Executive Dashboard

      The Board should not wait for a monthly report to learn what the fleet did yesterday.

      • The Executive Dashboard
      • Utilisation heatmaps and demand patterns
      • AI insight engine and forward forecast
      Chapter 9.1 · Product · Screen 05

      Executive Dashboard

      Chapter 9.2 · Pattern Intelligence

      Where the capacity is hiding.

      Fleet utilisation heatmap

      Vehicles actively on trip, by hour and weekday — 90-day mean

      Peak utilisationTue 10:00 · 71%Dead zoneDaily 13:00–16:00 · 22%
      PATTERN DETECTED

      The 13:00–16:00 collapse

      Fleet utilisation drops to 22% every afternoon — drivers return for lunch and dispatch does not re-task the vehicle. This window alone contains 1.4 recoverable trips per vehicle per day.

      AI RECOMMENDATION

      Stagger shift breaks, chain the third trip

      Rotating driver breaks in two waves and pre-assigning the afternoon consignment at 11:00 converts the dead zone into +1.4 trips/vehicle/day with the existing headcount.

      Capacity unlocked · no capex0% fleetEquivalent to 17 additional trucks
      Chapter 9.3 · Intelligence

      The system does not report the past. It proposes the next action.

      Demand & trips-per-day forecast

      Actual vs AI forecast with 90% confidence band, 12-month horizon

      AI Recommendation Engine

      Ranked actions, generated 06:00 today

      LIVE
      10
      Chapter Ten

      ROI & Financial Impact

      Electric versus diesel. Total cost of ownership. Payback period. The number the Board will be asked to approve.

      • EV vs diesel total cost of ownership
      • Payback period and five-year value
      • Live ROI calculator — test our assumptions
      Chapter 10.1 · Total Cost of Ownership

      Electric wins on the running line, not the sticker line.

      Seven-year TCO per vehicle · Diesel vs Electric vs Electric + VMS

      BDT lakh, discounted, 60,000 km per annum duty cycle

      Diesel · 7-yr TCO0lakhFuel is 54% of lifetime cost
      Electric · 7-yr TCO0lakh−22.5% vs diesel
      Electric + VMS · 7-yr TCO0lakh−35.2% vs diesel · the VMS delta is ৳ 23 lakh per vehicle
      Read this carefully. The VMS pays for itself out of the gap between electric and well-managed electric. That gap is ৳ 23 lakh per vehicle over seven years — ৳ 13.8 crore across 60 vehicles.
      Chapter 10.2 · Payback · Interactive

      Move the assumptions. The business case recalculates live.

      Your assumptions

      Standing assumptions
      Demand realisation85%
      Cost to serve a recovered trip45% of contribution
      Annual licence & support18% of Year-1 investment

      Recovered capacity is only revenue where there is freight to carry it, and a recovered trip still consumes energy, driver hours and wear. Both are deducted before any return is claimed.

      Net annual value, after cost to serve0crore per annum
      Payback period0months
      Five-year net value0crore
      Return on investment0×over five years
      Move any assumption above and the business case recalculates against it.
      Chapter 10.3 · The Central Claim

      How two trips a day become five.

      Not one big idea — nine disciplined ones. This is the bridge, lever by lever, with the trip contribution of each.

      Trips per vehicle per day · contribution bridge

      Each lever quantified independently and net of overlap

      11
      Chapter Eleven

      Risk, Compliance & ESG

      A fleet platform is also a governance instrument. Every action time-stamped, every approval attributable, every emission accounted.

      • Safety, incident and SOS management
      • ISO 39001 & ISO 55001 alignment, audit trail
      • Carbon accounting and the ESG dashboard
      Chapter 11.1 · Governance

      Standards-aligned by design, not by remediation.

      Immutable audit trail

      Append-only event log · live sample

      STREAMING
      Safety incidents / million km4.1 → 1.2
      SOS median response3 min 40 s
      Documents expiring < 30 days7 · auto-escalated
      Chapter 11.2 · ESG

      The emissions report writes itself.

      Fleet carbon trajectory

      Tonnes CO₂e per annum · Scope 1 & Scope 2, 60 vehicles

      Annual abatement2,940 tCO₂eEquivalent≈ 147,000 trees / yr

      ESG scorecard

      Board-reportable, auto-generated monthly

      ESG composite78 / 100Prior year51 / 100
      12
      Chapter Twelve

      Future AI, Digital Twin & the Roadmap

      What we build in Year 1 is the foundation. What it becomes in Year 3 is a self-optimising freight network.

      • AI Dispatcher and the Digital Twin fleet
      • Eight-phase transformation roadmap
      • Why this partner, and the decision requested
      Chapter 12.1 · Horizon 3

      The Digital Twin — simulate tomorrow before you dispatch it.

      Chapter 12.2 · Delivery

      Eight phases. Eighteen months. Value from month three.

      Select a phase for scope, duration, owner and the value released.

      Chapter 12.3 · The Partner

      Fourteen reasons this is the right platform for Akij Bashir Group.

      The Decision Requested

      Approve the pilot.
      Twelve vehicles. Ninety days.
      The numbers will argue for themselves.

      Phase 1–2 pilot12 vehicles · 1 depot · 90 days · fully instrumented
      Success gate≥ 3.5 trips/vehicle/day and ≥ 88% availability by day 90
      Investment to gate৳ 42 lakh · fully creditable against full rollout
      Board reviewDay 90 · with live dashboard, not a slide deck
      Fleet Digitalisation PracticeVehicle Management System · Enterprise Delivery
      Akij Bashir GroupExecutive Management & Board of Directors · FY 2026
      Designed & Developed by
      MA

      Mahfuz Akand

      Solution Architect & Full-Stack Engineer · 10+ years building enterprise software, real-time dashboards and AI-driven products.

      Built with HTML5 · CSS3 · JavaScript · GSAP · SVG Enterprise UI & data-visualisation engineering
      Mahfuz Akandমূল সাইটে ফিরুন