ThirdEye Data

Your warehouse is generating data every single hour of every single day.
Most of it never gets used.

⚠️ 68% of warehouse data sits in disconnected silos. WMS. ERP. CCTV footage. Never connected. Never analyzed. Never turned into a decision.

And while that data sits idle:
👉 2 to 5% of annual revenue leaks through inventory shrinkage. Not from theft. From stock moving between cycle counts with no record of where it went.
👉 23% of equipment downtime could have been prevented. The signals were there. Nobody was reading them.
👉 40% of warehouse space is underutilized. Because layout decisions are still made on instinct and last quarter's spreadsheet.

These are not edge cases. For a mid-size warehouse operation, they add up to millions every year.

We mapped out five specific areas where AI is already closing these gaps for warehouse operators:

→ Automated stock counting using existing CCTV cameras. Real-time counting data. Time-stamped audit logs. Dynamic dashboard for operations and leadership teams.
→ Predictive maintenance that flags equipment issues before they shut down operations.
→ Safety and PPE compliance monitoring across every shift, without adding headcount.
→ Space and layout intelligence from a single photo of any storage zone.
→ Document and workflow automation for supplier operations and inbound logistics.

Every solution runs on infrastructure you already have. No new hardware. No 18-month implementation. Production-ready in 8 to 16 weeks.

You can explore live demos and test them on your own warehouse data before committing to anything.

Explore here: https://buff.ly/W7SgQCc

If you lead warehouse or supply chain operations, this is worth 5 minutes.

Ask a warehouse or godown manager how much stock is on the floor right now, and you usually get one of two answers: “approximately…” or “let me check after the audit.”

Both are expensive.

⚠️ “Approximately” is where shrinkage hides. A few bags unaccounted for at every loading and unloading, multiplied across a year, become a deficit nobody can explain.

⚠️ “After the audit” means halting operations for 24–48 hours while a team counts by hand. And tired eyes, by bag number 2,000, miss things.

The irony? Most warehouses already have cameras recording all of it. They just use that footage to review theft after it happens, not to prevent inventory errors as they occur.

Visual data is one of the most underused assets on the supply chain and logistics floor.

How does your team handle stock reconciliation? A full shutdown, or rolling counts?

At ThirdEye Data, we have developed and deployed an AI-based real-time stock counting system that is delivering 93%+ accuracy in real-time stock counting. It comes with 8+ counting modes, provides bidirectional counting, uses spatial intelligence, and generates audit-ready reports by using existing camera infrastructure.

If you are looking for an automated stock counting solution that delivers results, feel free to explore and request a demo:
https://buff.ly/DzooRlI

FYI: This solution is already deployed for 4+ enterprises. And completely flexible for customizations.

This World Environment Day, we reaffirm our belief that sustainability is not a choice. It is a responsibility.

At ThirdEye Data, we recognize that protecting the environment requires more than intent. It demands meaningful action, innovation, and smarter systems that help industries operate more responsibly.

Agriculture remains one of the most critical sectors influencing , , and . Farmers and agricultural stakeholders today face increasing pressure from climate uncertainty, resource constraints, and the need for more informed decision-making.

As part of our commitment to building that create real-world impact, we have developed advanced AI-powered capabilities designed to support smarter and more sustainable agricultural ecosystems.

🌱 Agri Know AI Assistant helps improve access to agricultural knowledge and insights, empowering faster and more informed decisions.
https://buff.ly/k39jETk

🥬 Veg Intel AI strengthens agricultural intelligence by enabling better visibility into trends, planning, and decision support.
https://buff.ly/tDzOHJa

🚜 Smart Agro Advisor helps deliver AI-driven recommendations that support more efficient and informed agricultural practices.
https://buff.ly/FWDG7Kg

We believe responsible AI can contribute meaningfully to a more sustainable future by helping industries optimize resources, improve productivity, reduce inefficiencies, and make better decisions for both people and the planet.

This World Environment Day, we remain committed to advancing technologies that support environmental resilience, sustainable agriculture, and a healthier future for generations to come.