- Santriya Technologies is seeking an AI-Enabled Inventory Controller to protect inventory accuracy and availability using WMS controls, cycle counting and AI-assisted anomaly detection across warehouses or product locations.

- 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 inventory balances, movements, allocations, holds, ageing and discrepancies.

- Use AI anomaly alerts to prioritize counts and investigations, verifying against physical stock and transaction history.

- Plan and execute cycle counts and reconciliations with documented root causes and approvals.

- Control stock adjustments, quarantine, damaged, returned and obsolete inventory.

- Investigate shrinkage, mis-picks,



location errors and process leakage with warehouse and loss-prevention teams.

- Maintain item/location master data and stock status rules.

- Support replenishment, allocation and inventory health reviews.

- Produce accurate inventory reports and escalate material control failures.

- 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:

- Inventory record accuracy improves
- Shrinkage and unexplained adjustments reduce

- Count effort becomes risk-based

- Availability improves without excess stock

📌 AI-Enabled Inventory Controller (Chennai)
🏢 Santriya Technologies
📍 Chennai