- Santriya Technologies is seeking an AI-Enabled Supply Chain Executive to coordinate demand, supply, inventory and fulfilment activities using AI-assisted forecasts and exception management to improve service, stock availability and operating efficiency.

- 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:

- Monitor demand, inventory, purchase/production, inbound, warehouse and delivery plans for assigned products.

- Use approved AI forecasts and anomaly alerts as decision support; investigate material variances before changing plans.

- Manage stockout, excess, delay, capacity and allocation exceptions across teams.

- Maintain planning parameters, lead times, minimums, calendars and master data with change control.

- Coordinate with procurement, warehouse, logistics,



sales and finance on priorities.

- Track service level, fill rate, forecast accuracy, inventory turns and ageing.

- Document assumptions, overrides and root causes so models and processes can improve.

- Escalate customer, compliance, temperature/safety or high-value product risks promptly.

- 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:

- Service and availability improve

- Forecast/plan bias reduces
- Inventory ageing and expedites decline

- Exceptions are resolved with documented causes

📌 AI-Enabled Supply Chain Executive (Chennai)
🏢 Santriya Technologies
📍 Chennai