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Deliver on Time—Every Time

AI‑driven logistics digitisation slashes transit delays, shrinks empty miles, and lights up end‑to‑end visibility from warehouse to doorstep.

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Before AI v/s After AI

KPI COUNTERS – THE SCOREBOARD

Avg. Delay Cost/Shipment - $29
Before AI: $ 37
After AI: $ 8
Scrap Cost/Yr ↓ 28%
Before AI: 4.3 kg
After AI: 3.1 kg
On‑Time Delivery (OTD)
On‑Time Delivery Before Light On‑Time Delivery After Light On‑Time Delivery Before Dark On‑Time Delivery After Dark
Empty‑Mile Ratio
Empty‑Mile Ratio Before Light Empty‑Mile Ratio After Light Empty‑Mile Ratio Before Dark Empty‑Mile Ratio After Dark
Warehouse Pick Accuracy
Warehouse Pick Accuracy Before Light Warehouse Pick Accuracy After Light Warehouse Pick Accuracy Before Dark Warehouse Pick Accuracy After Dark

Why Change?

Pain-Point Matrix

Last‑Mile Chaos
Unpredictable traffic & failed deliveries hurt NPS.
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Last‑Mile Chaos
RL route optimiser adapts in real time; dynamic re‑slotting for failed drops.
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Empty‑Mile Waste
Trucks return half‑full, burning diesel & profit.
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Empty‑Mile Waste
Network‑wide load‑matching engine pairs backhauls & cross‑docks.
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Dock Congestion
Queueing at warehouses adds idle hours & penalties.
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Dock Congestion
Vision + queuing AI predicts berth times; auto‑schedules staggered arrivals.
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Cold‑Chain Compliance
Temperature excursions trigger product loss & recalls.
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Cold‑Chain Compliance
Edge IoT sensors feed LSTM anomaly detection; triggers reroute or dry‑ice top‑up.
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Customs & Trade Docs
Manual paper forms stall border clearance.
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Customs & Trade Docs
LLM parses invoices, SKU HS codes; auto‑creates compliant eDocs (ACE, CDS).
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Returns Tsunami
E‑commerce returns bloat reverse logistics cost.
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Returns Tsunami
Demand‑sensing AI clusters return hubs, pre‑positions inventory & labor.
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Fleet Breakdown Surprises
Roadside failures derail schedules.
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Fleet Breakdown Surprises
Vibration & CAN‑bus AI predicts breakdowns days in advance; schedules maintenance.
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Lack of Real‑Time Visibility
KPIs scattered in siloed spreadsheets.
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Lack of Real‑Time Visibility
Unified control‑tower dashboard streams IoT, AIS, WMS, and TMS data.
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Carbon Footprint Pressure
ESG targets demand emissions cuts.
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Carbon Footprint Pressure
Optimiser balances mode, load, and speed for minimum CO₂ per kg‑km.
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See the data fly

Workflow Spotlight

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Production Lane

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Description

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Commercial Lane

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AI Solutions

Route Optimiser

Key points

  • AI-driven route planning using live traffic and delivery constraints.
  • Reduces fuel consumption by up to 22 %.
  • Integrates with ERP and TMS for seamless dispatch optimization.

Predictive Fleet Maintenance

Key points

  • Detects early signs of component wear using IoT sensor data.
  • Minimizes unplanned breakdowns by up to 35 %.
  • Supports telematics platforms for real-time diagnostics.

Warehouse Vision QC

Key points

  • Computer vision system for automated SKU and pallet inspection.
  • Boosts accuracy and safety compliance by 28 %.
  • Integrates with existing WMS infrastructure.

Demand & Inventory Planner

Key points

  • AI-driven demand forecasting for SKU-level accuracy.
  • Optimizes reorder points and reduces holding costs by up to 20 %.
  • Integrates with SAP IBP / Kinaxis for dynamic planning.

Customs Doc Intelligence

Key points

  • Automates customs form classification and anomaly detection.
  • Cuts documentation processing time by 40 %.
  • Enhances compliance accuracy with OCR and NLP-based validation.

Demand Planner

Key points

  • Leverages AI-driven forecasting to predict demand across regions and SKUs.
  • Improves forecast accuracy by up to 25 %, minimizing stockouts and overstocking.
  • Integrates with ERP and supply chain systems for continuous S&OP alignment.

Under the hood

Technical Architecture

  • Teltonika / Samsara telematics
  • BLE temp beacons
  • MQTT <200ms

  • PyTorch Lightning → ONNX, Triton inference
  • GraphRL for routing
  • BERT‑fine‑tuned LLM for customs docs

  • FastAPI micro‑services (Docs Intelligence, Cost Optimiser, ESG Engine)

  • Confluent Kafka
  • Snowflake lakehouse
  • Delta clone
  • AIS & weather APIs

  • Kubeflow
  • Argo CD
  • ISO27001 & TAPA

  • React + D3 control tower
  • Grafana fleet metrics
  • AR glasses for dockyards

Implementation Blueprint

Phase 1: Discover & Data Audit

  • Fleet + warehouse walk‑through
  • sensor map
  • sample doc extraction
  • ROI hypothesis.

Phase 2: Rapid Pilot

  • One lane + one customs flow instrumented
  • baseline KPIs captured

Phase 3: Shadow validation

  • 24×7 inference in parallel
  • planner & driver feedback loop

Phase 4: Production Launch

  • TMS/WMS integration live
  • Staff training
  • SLA activated

Phase 5: Continuous Optimisation

  • KPI review
  • model retrain
  • feature backlog burn‑down

ROI Calculator

Fuel Savings:

Delay Savings:

CO₂ reduction:

Trust & Compliance Badges

TSR Certified TAPA TSR Certified TAPA
ISO 28000 ISO 28000
AICPA SOC 2 AICPA SOC 2
US EPA Certified SmartWay US EPA Certified SmartWay
GDP GDP
GDPR GDPR

The Fast Lane

Give us 30minutes. We’ll map a milestone‑based AI path that pays for itself.

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Why Choose Us

Proven Results,
Trusted by Experts

Futuristic Visuals

From fleet heatmaps to route optimization overlays, our UI is engineered to give logistics teams instant visibility across hubs, lanes, and delivery networks.

Trusted by Industry Leaders

Adopted by global 3PLs, freight operators, and supply chain platforms, benchmarked against world-class logistics efficiency frameworks.

Loss Aversion

Without AI:

Routes stay inefficient Empty miles continue rising Delays cascade across the chain

We help plug revenue losses with real-time optimization.

Small Steps, Big Impact

A quick consultation reveals how demand forecasting and route intelligence can transform operational margins within weeks.