- Santriya Technologies is seeking an AI Demand Forecast & Inventory Planner to own demand and inventory plans using AI/ML forecasts as a transparent decision input, combining model output with promotions, supply constraints and commercial judgement.

- 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:

- Produce baseline and event-adjusted demand forecasts by product/location/channel.

- Review model accuracy, bias, confidence and anomalies and apply documented overrides only with evidence.

- Translate forecasts into replenishment, safety stock and inventory targets.

- Incorporate promotions, launches, seasonality, constraints and known business events.

- Partner with trading, procurement, suppliers, logistics and finance on plan alignment.

- Track forecast accuracy,



bias, service, ageing and working-capital outcomes.

- Investigate forecast misses and update drivers, calendars or model features where appropriate.

- Maintain planning master data and versioned assumptions.

- 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:
- Forecast accuracy and bias improve

- Stockouts and excess inventory reduce

- Overrides become fewer and better-evidenced

- Inventory supports service with lower working capital

📌 AI Demand Forecast & Inventory Planner (Chennai)
🏢 Santriya Technologies
📍 Chennai