Inventory Visibility & Reorder Optimization

🧩 Why (Problem)

🔹 Business Pain:

• No visibility into devices shipped to customers → resulting in billing inaccuracies.

• Inability to track device utilization vs shipments created revenue and compliance risk.

🔹 Customer Pain:

• No facility-level inventory view → led to poor distribution decisions.

• Couldn’t calculate lead times or set reorder thresholds → increased stockouts or over-ordering.

🚀 What (Solution)

I led the end-to-end product solution:

• Facilitated multi-stakeholder working sessions to align on problem scope and success metrics.

• Created a phased delivery roadmap with incremental MVP milestones.

• Collaborated across hardware, firmware, software, manufacturing, and quality to launch a fully integrated solution.

🔧 How (Execution)

🛠 Hardware:

• Reused mesh-enabled BLE devices for in-facility tracking.

• Combined with GPS-enabled devices to track shipments to the warehouse.

• Tuned ping rates to suit movement detection vs battery life tradeoffs.

🔌 Firmware:

• Added new inventory categorization logic.

• Enabled device state updates to reflect shipment stage (e.g., in-transit, stocked, defective).

🏭 Manufacturing:

• Updated workflows to tag device inventory status pre-shipping.

• Initiated structured shipped device data feed into the inventory system.

💻 Software:

• Wrote detailed PRDs and specs for a new web dashboard:

  • Facility-level device usage

  • Activated vs defective counts

  • Reorder thresholds and alerts

• Collaborated with UI/UX and full-stack to ensure accuracy and usability.

✅ QA:

• Defined detailed acceptance criteria:

  • Data integrity across states

  • Edge-case handling for defective devices

  • Facility-level metrics and dashboard calculations