AI-Enabled Logistics Coordinator

Santriya Technologies; Chennai; On-site; INR 800,000 - 1,100,000; Full time

Job summary

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

You will coordinate shipments, track deliveries and manage documentation, working with warehouse and carrier teams to ensure on-time performance. The role emphasizes human oversight of AI outputs and continuous improvement through feedback.

Qualifications

• Experience coordinating shipments and managing logistics operations.
• Familiarity with AI-assisted decision support in routing and ETA.
• Ability to monitor carrier performance and resolve delays.

Responsibilities

• Plan and release shipments based on orders, capacity and service commitments.
• Use AI-assisted route/ETA recommendations to support dispatch decisions.
• Track vehicles, carriers, deliveries and exceptions; communicate delays.
• Manage proof of delivery, claims, failed delivery and handover documentation.
• Coordinate warehouse readiness, carrier capacity and customer teams.
• Maintain freight rates and shipment data in TMS/ERP.
• Investigate recurring delays or route issues using AI insights.
• Escalate high-value or regulated issues to authorized teams.

Skills

Logistics coordination

AI-assisted decision making

Carrier management

Tools

TMS/ERP

Route optimization AI tools

Job description

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 escale 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