- Santriya Technologies is seeking an AI Last-Mile Logistics Optimisation Coordinator to coordinate last-mile capacity, routing and delivery exceptions using AI optimization and geospatial intelligence with human oversight for local constraints and customer impact.

- Product & documentation operating model: You will be assigned one or more company products, client solutions or operational services.

- The approved product documentation, SOPs, policies, process maps, knowledge articles, release notes, controls, scripts and AI runbooks are the source of truth.

- Use only approved enterprise AI tools to retrieve, summarize, draft, classify, prioritize or automate work.

- Validate material AI outputs against current documentation and authoritative system data, record exceptions, and escalate conflicts or missing guidance.

- Do not invent product features, prices, customer entitlements, engineering limits, regulatory positions or safety instructions.

Key Responsibilities:

- Plan delivery waves, route capacity and carrier/driver allocation against promised windows.

- Use AI routing, geocoding and ETA tools while validating access, restrictions, weather and local operating realities.

- Monitor route progress and intervene on capacity, failed-delivery or service-risk exceptions.

- Coordinate customer communication and reattempt/re-route decisions.

- Track driver/carrier performance, utilization,



distance and cost.

- Investigate address, geocode, packaging or process causes of failed delivery.

- Support peak planning and scenario testing.

- Escalate safety, security, high-value or regulated deliveries per policy.

- AI-enabled ways of working:

- Use approved GenAI copilots, enterprise search/RAG, analytics and workflow agents to reduce repetitive work and improve decision preparation.

- Keep prompts, outputs and automated actions within approved data-access, confidentiality and retention rules.

- Correct inaccurate summaries, classifications or recommendations before they become customer, operational or system records.

- Feed recurring AI errors, knowledge gaps and process friction into product, documentation and control improvement.

- Human accountability: AI is a copilot, not the accountable decision-maker.

- The role holder remains responsible for judgement, quality, privacy, security and appropriate escalation.

- Credit, fraud blocking, legal/regulatory, financial advice, safety-critical, clinical, employment and other high-impact decisions must follow delegated authority and required human review.

- Success Measures:
- On-time delivery and ETA accuracy improve

- Miles/cost per stop reduce

- Failed deliveries decline
- Peak capacity decisions become more proactive

📌 AI Last-Mile Logistics Optimization Coordinator (Chennai)
🏢 Santriya Technologies
📍 Chennai