- Santriya Technologies is seeking an AI-Enabled Warehouse Supervisor to lead shift-level warehouse execution across receiving, put-away, picking, packing, sortation and dispatch using AI-assisted workload, labor and flow insights.

- 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:

- Run shift start-up, staffing, area allocation and workload priorities against service commitments.

- Use WMS and AI forecasts to anticipate volume, congestion and labor needs, adjusting with supervisor judgement.

- Monitor productivity, quality, backlog, equipment status and safety in real time.

- Ensure associates follow SOPs for product handling, scanning, packaging, hazardous/high-value items and exceptions.

- Coordinate automation,



maintenance and IT support when systems or material-handling equipment degrade.

- Investigate misses, damage, mis-picks and process deviations and implement corrective actions.

- Coach team leaders and associates using objective performance and quality data.

- Maintain accurate handover, incident and shift records.

- 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:
- Throughput and SLA attainment improve

- Mis-picks/damage and safety incidents reduce

- Labour plan accuracy improves
- Automation downtime is escalated and recovered quickly

📌 AI-Enabled Warehouse Supervisor (Chennai)
🏢 Santriya Technologies
📍 Chennai