Case studies · Built by data, driven by intelligence

Real networks.
Measured results.

How AI is transforming logistics across FMCG, cold chain, e-commerce, energy, chemicals and manufacturing, in India, the Gulf and beyond. Customer names are withheld; every number is from production.

Book a demoRead the case studies ↓
$14.6Msaved for one cold-chain customer
80,000+cross-border trips a year on one platform
1,500+hubs planned by one AI engine
45,000+ tCO₂ avoided across deployments
8 case studies
01
FMCG · Chocolate, malted drinks, biscuits

Delivering delight, smarter

How AI took one of India's most intricate FMCG networks from spreadsheets to self-learning dispatch.

15%lower rate per tonne
45%fewer planning man-hours
40%better vendor-share adherence
20%higher vehicle utilisation

01The challenge

Dispatch ran on spreadsheets, email and calls. Load planning was inconsistent, detention at docks was high and trucks left under-filled. Temperature-sensitive chocolate and malted drinks had no central, real-time monitoring across warehouses and vehicles.

02The Elixia solution

  1. ERP-integrated master for every SKU, warehouse and transporter
  2. AI vehicle allocation by vendor share, cost, location and load efficiency
  3. Gate-in, gate-out and dock times captured on mobile to find congestion
  4. GPS, SIM tracking and temperature sensors with predictive alerts
  5. One-click ePOD, automated invoicing, reconciliation and SLA checks

03Impact beyond the numbers

  • $117,000+ annual savings from vendor alignment and heavy-vehicle optimisation
  • 4,200+ tonnes of CO₂ avoided every year
  • Now expanding to multiple global markets
02
FMCG · Bakery and fresh food

Freshness on schedule

Last-mile intelligence for 1,000+ franchise outlets that need two deliveries a day, starting at 6:30 a.m.

70%less total delivery time
50%faster unloading at outlets
35%lower operating and monitoring cost
2continents, now including Africa

01The challenge

Every outlet needs an early-morning drop and an afternoon top-up, with a 100% buyback on unsold stock. One vehicle serves 3–4 outlets in tight windows, but the old tracker offered no route sequencing, store alerts or exception handling.

02The Elixia solution

  1. Cluster-based AI route sequencing by priority, traffic, store rules and capacity
  2. Predictive ETA alerts to store teams just before the truck arrives
  3. Live control room on web and mobile for every delivery loop
  4. Alerts for missed scans, delayed loads and route deviations
  5. Learning loop that refines routes city by city

03Impact beyond the numbers

  • Consistent early fulfilment lifted franchise satisfaction
  • Now the end-to-end logistics automation partner in India and abroad
03
Cold chain · Global confectionery

Cold chain at scale

How a confectionery leader kept chocolate in shape through Indian summers with predictive cold-chain AI.

$14.6Mlogistics cost savings
12.1M Lfuel saved in FY24
45%better SLA compliance
20%faster response to alerts

01The challenge

Reefers and cold rooms existed, but temperature was logged manually or on fragmented devices. Breaches were found late, distributors documented differently, and static planning ignored traffic, ETA changes and heat risk.

02The Elixia solution

  1. IoT temperature sensors on every vehicle, live in the control tower
  2. Geo-fenced shipments with route-level temperature and transit tracking
  3. AI that learns where spikes happen and alerts before a breach
  4. SLA-breach prediction, vendor trends and temperature risk zones
  5. Temperature logs and ePOD attached to every invoice

03Impact beyond the numbers

  • 100% automated temperature logs and geo-tagged proof of delivery
  • 41,080 tonnes of CO₂ avoided through smarter routing and utilisation
04
Cold chain · D2C fresh and frozen

Precision delivery for frozen goods

A last-mile intelligence stack for dark stores, riders and reefer vans, where quality and ETA are non-negotiable.

30%faster delivery turnaround
25%fewer quality complaints
70%fewer rerouting calls
4.6★average customer rating

01The challenge

Clustering and sequencing were manual, temperature excursions were noticed after delivery, and riders were rerouted over call groups. Complaints about missed slots and damaged goods rose during festivals and promotions.

02The Elixia solution

  1. Rider and vehicle app with live updates, photo and geo-tagged ePOD
  2. ML routing that re-clusters active orders in under 30 seconds
  3. Bluetooth temperature sensors synced to the control tower
  4. Breach alerts triggered before the SLA is at risk
  5. City-wise AI summaries to prioritise interventions

03Impact beyond the numbers

  • 100% of last-mile PODs digital, with photo and timestamp
  • 10% more orders per route through intelligent clustering
05
Retail & E-commerce · National marketplace

Planning millions, daily

From a small pilot to Elixia's largest enterprise deployment: one AI brain for 1,500+ hubs.

12%transport cost savings
1,500+hubs on one platform
160+vendors planning on Elixia
0manual allocations

01The challenge

Thousands of daily deliveries ran without an AI backbone. Routing and vehicle use were inconsistent, vendor performance was fragmented, and multiple teams allocated and reconciled shipments by hand.

02The Elixia solution

  1. AI planning engine across every hub, trained on volume, density, vendor and cost
  2. Daily vehicle, load and time-window recommendations
  3. Transporter app for paperless accept, execute and complete
  4. Learning loop fed by 160+ vendor networks
  5. One control system for grocery, large-format, fashion and 3PL

03Impact beyond the numbers

  • Planning-to-billing fully digital
  • Started as a small pilot; now the largest Elixia enterprise customer
06
Chemicals · Global agrochemicals

Hazmat, handled smart

AI route planning and HSSE compliance for hazardous materials moving from plants to remote farm zones.

10%lower outbound freight cost
100%HSSE protocol compliance
7%better vehicle utilisation
0manual POD delays

01The challenge

Routes relied on depot knowledge. Hazmat demanded strict HSSE adherence, from driver behaviour to restricted-zone geofences. Manual POD collection delayed invoices and payments and hid transporter performance.

02The Elixia solution

  1. AI planning by safety priority zones, windows, vehicle type and vendor history
  2. Milestone tracking, driver-behaviour alerts and HSSE dashboards
  3. Geofences around sensitive zones; overspeed, idling and deviation alerts
  4. ePOD on mobile with three-way invoice reconciliation
  5. Transporter scoring that improves with every trip

03Impact beyond the numbers

  • Planning, monitoring and reconciliation fully automated
  • Plans to scale across international export markets
07
Oil & gas · Fuels and lubricants

Fuel moves smarter

80,000+ safe, optimised fuel and lubricant trips a year across India, Oman and the UAE on one platform.

80,000+trips monitored a year
10%cost savings
20%fewer incidents
40%faster dispute resolution

01The challenge

Multiple vendor systems fragmented tracking and delayed POD verification. Cost per trip was rising, there was no AI reconciliation, and without live deviation and idle alerts, incident frequency stayed too high.

02The Elixia solution

  1. One platform for 15 transporters: 5 in India, 8 in Oman, 2 in the UAE
  2. GPS, telematics and digital POD across every trip
  3. AI trip schedules favouring low-cost, high-efficiency vendors
  4. ETA learning and repeat-deviation flags by region
  5. Compliance, delay causality and SLA dashboards for every team

03Impact beyond the numbers

  • 100% cross-border fleet visibility on a single platform
  • 100% HSSE compliance with driver and vehicle monitoring
  • Expanding to lubricants and Southeast Asia next
08
Manufacturing · Top-tier 3PL

Cutting secondary freight with AI

Route and load optimisation for an asset-light 3PL serving 300+ manufacturing, automotive and industrial brands.

10%lower secondary logistics cost
25%better vehicle space use
$8,000saved in month one, 3 sites
650 tCO₂ avoided

01The challenge

Secondary transport cost was eroding margins. Vehicles were allocated by phone, rates negotiated in isolation, and each region worked differently with no shared data on rates, vehicles or shipments.

02The Elixia solution

  1. Three months of shipments, vehicles, SKU weights and invoices geocoded
  2. Cost per tonne-km and lane behaviour analysed
  3. Optimisation engine picks vehicle type and packs each load
  4. Millions of route permutations by cluster, fuel, weight, time and traffic
  5. Daily cost-optimised dispatch plan that learns from execution

03Impact beyond the numbers

  • Reliable daily capacity forecasts: from reactive to predictive
  • Now scaling across the client's other facilities in India
The stack behind the results

Three engines.
Every industry.

Every case study above runs on the same platform. Here is what does the heavy lifting.

AI-based planning

Optimise routes, capacity and cost with a self-learning engine. Plans in under 30 seconds.

  • Zero-touch load and route plans
  • 15–20% better heavy-vehicle utilisation
  • Fewer empty miles
  • SAP, Oracle and Tally integrations
Explore →

Cold chain and telematics

Compliance, live tracking and temperature control at every step, with breach prediction.

  • Predictive breach alerts
  • One dashboard for every reefer
  • Driver and vendor alerts
  • 25–30% lower cold-chain losses
Explore →

Last-mile delivery

Hyperlocal routing, ETA alerts and ePOD with real-time intelligence.

  • Dynamic rerouting
  • ePOD synced to billing
  • ETA alerts for customers
  • 20–30% better delivery efficiency
Explore →

Your network could be
the next case study.

Share a month of trips or orders. We will show you, in 30 minutes, where the savings are.

Book a 30-minute sessionWhatsApp “sales”
Elixia Results like these, on your lanesBook a demo