AI for Logistics & Supply Chain
Iedeo builds AI for Indian logistics — delivery voicebots, POD OCR, route AI, ANPR for warehouses and ports, driver-app chatbots, and fraud-anomaly detection across complex multi-party operations.
Logistics AI pain points
Delivery exception calls
Customer calls flood support — "where is my order?", "reschedule", "address change".
Document chaos
PODs, invoices, BL, customs forms — manual data entry kills SLA and accuracy.
Gate bottlenecks
Warehouse and port gate entry takes 5-15 minutes per truck — ANPR can cut it to seconds.
Route inefficiency
Static routing wastes 10-25% of last-mile cost on every metro.
Driver-app fatigue
Drivers don't read multi-screen apps. Voice and chatbot interfaces 5x adoption.
Damage / theft signals
Camera + AI catches damage and pilferage that humans miss across high-volume hubs.
What Iedeo delivers for logistics
Delivery voicebots
COD confirmation, address verification, reschedule, return pickup — at thousands of calls/hour.
- 12 Indian languages
- OMS / WMS integration
- Dynamic call pacing
POD & invoice OCR
Capture POD signatures, invoice fields, BL/customs forms — auto-update freight system.
- Mobile photo capture
- Handwriting tuned
- Idempotent system writes
ANPR / gate vision
Camera-based vehicle ID at warehouse and port gates — sub-second clearance.
- Indian plate variants
- Multi-camera per gate
- Yard management integration
Route optimisation AI
Multi-stop, multi-vehicle route AI that beats static algorithms by 10-25%.
- Real-time traffic aware
- SLA-window constrained
- Driver-skill aware
Driver-app chatbots
Voice-first driver interface — task accept, navigation, exception reporting, KYC.
- Hindi/Tamil/Punjabi voice
- Low-bandwidth UX
- Offline-capable fallback
Damage / pilferage AI
Computer vision at sort hubs and load points to catch damage and missing inventory.
- Per-package classification
- Real-time alerts
- Insurance-claim ready
Our Delivery Process
Logistics operations audit
Shadow your warehouse / dispatch / customer-care team for 1-2 days. Identify the highest-impact AI use cases.
Integration mapping
OMS, WMS, TMS, driver app, customer support — plan integration before AI work begins.
POC + pilot
4-6 week pilot — typically delivery voicebot first, since ROI is fastest. Real traffic, real metrics.
Production rollout
Phased rollout across metros / lanes / hubs. Driver and ops training.
Expansion & tuning
Add use cases over 6 months — POD OCR, ANPR, route AI, vision QC at hubs.
Industries We Serve
3PL & express
Delivery voicebot, route AI, POD OCR.
Sea freight & ports
BL OCR, ANPR at gates, customs document AI.
Air freight
AWB OCR, gate vision, customer voicebot.
E-commerce logistics
COD voicebot, returns AI, driver chatbot.
Cold chain
Sensor anomaly AI, route AI, temperature monitoring.
Inbound logistics
Vendor PO matching, inwards QC vision, document AI.
Hyperlocal / quick commerce
Rider voicebot, sub-30-min routing, fraud detection.
Fleet & fuel
Trip-sheet OCR, anomaly detection, driver-app voice.
Why logistics picks Iedeo
Multilingual driver experience
Drivers across India speak Hindi, Tamil, Telugu, Kannada, Punjabi — voicebots in their language increase adoption.
Mobile-first capture
POD, damage, exception photos captured via driver app, processed by AI in seconds.
Real-time integration
OMS, WMS, TMS, driver-app, support tools — all connected. AI is not a silo.
Production scale
Voicebots at thousands of calls/hour. ANPR at 30+ gates. POD OCR at millions of docs/month.
India-tuned ANPR
Indian plate variations, dust/dirt obscuring, night-camera tuning — accuracy 97%+ on Indian roads.
ROI in 30-90 days
Delivery voicebot and POD OCR typically pay back in 30-90 days. Hard metrics, not theory.
Frequently Asked Questions
Common questions about our services and technology.
What is the typical ROI from a delivery voicebot?
Most logistics clients see payback within 30-60 days. Cost-per-call drops from ₹35-90 (human) to ₹2-6 (voicebot). Containment rate is 70-85% for COD confirmation and address verification.
Do you integrate with our existing TMS / OMS / driver app?
Yes. We integrate with major Indian TMS / WMS / OMS platforms (Locus, FarEye, Shipsy, Unicommerce, custom-built) and with driver apps via APIs or as a chatbot layer inside the existing app.
How accurate is ANPR for Indian number plates?
We achieve 97%+ on day cameras, 92-95% on night cameras. Tuned for HSRP, retro-reflective, and dirty/damaged plates. Multi-camera deployments improve accuracy further.
Can your route AI beat the existing routing software?
In tested deployments, 10-25% cost reduction over static routing. Bigger gains for multi-stop, multi-vehicle, time-window-constrained problems.
How does POD OCR handle photographed handwritten signatures?
We capture, verify presence, and extract structured POD data (date, time, recipient name, remarks). Signature is captured as image evidence — not auto-validated against reference.
What does logistics AI cost?
Delivery voicebot: ₹5-25L setup. POD OCR pipeline: ₹15-40L. ANPR per gate cluster: ₹8-25L. Route AI: ₹15-40L. Driver app chatbot: ₹10-30L.
How long until production?
Voicebot: 5-7 weeks. POD OCR: 8-12 weeks. ANPR: 6-10 weeks per gate cluster. Route AI: 10-14 weeks. Driver app chatbot: 8-12 weeks.
AI that moves logistics KPIs
Book a 30-minute strategy call. We will identify your highest-ROI logistics AI opportunity, share comparable deployments, and quote a fixed-scope proposal.