- Santriya Technologies is seeking an AI-Enabled Logistics Coordinator to coordinate inbound, outbound and last-mile movements with AI-supported route, ETA and exception intelligence to improve delivery reliability and cost.

- 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 and release shipments based on orders, capacity, service commitments and product handling requirements.

- Use approved route/ETA recommendations to support dispatch decisions, checking restrictions, customer windows and real-world constraints.

- Track vehicles, carriers, deliveries and exceptions; proactively communicate material delays.

- Manage proof of delivery, claims, failed delivery, return and handover documentation.

- Coordinate warehouse readiness, carrier capacity and customer/service teams.





- Maintain freight rates, carrier performance and shipment data in TMS/ERP.

- Investigate recurring delay, damage or route issues using AI-assisted trend analysis.

- Escalate high-value, regulated, dangerous-goods or security issues to authorized teams.

- 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-in-full and ETA accuracy improve

- Cost per shipment and failed deliveries reduce

- Carrier performance becomes measurable
- Exception communication is proactive and accurate

📌 AI-Enabled Logistics Coordinator (Chennai)
🏢 Santriya Technologies
📍 Chennai