Sankalp Arora is the CEO & Co-Founder of Gather AI. With 14 years of experience, Sankalp developed safety and sensor planning for the world's first safe autonomous helicopter, funded by DARPA, a project that won the Howard Hughes award, AUVSI Xcellence award and was nominated for the Collier Trophy. He is a recipient of the Qualcomm Innovation fellowship and Swartz Innovation fellowship and has a PhD in Robotics from Carnegie Mellon University. Gather AI and Sankalp have received several awards, including CB Insights' AI 100, SupplyChainBrain’s Great Supply Chain Partner Awards, Peerless Media’s NextGen Supply Chain Awards, Food Logistics and Supply & Demand Chain Executive Top Tech Startup Awards, and the Pittsburgh Inno Fire Awards.

Gather AI is an intralogistics AI company which collects visual data from drones, forklifts, and connected machines, integrates it with warehouse management systems (WMS) and cloud platforms, and uses AI to identify issues and suggest next steps.

• In “Real-World Supply Chain AI Applications with Gather AI's Sankalp Arora”, Joe Lynch and Sankalp Arora, CEO and Co-founder at Gather AI, discuss how Gather AI's combination of drone-collected visual data, AI analysis, and WMS integration is revolutionizing warehouse inventory management.
• Bridging Robotics Expertise to Logistics: Sankalp Arora’s foundational work in safety and sensor planning for autonomous helicopters (a DARPA-funded project) highlights how sophisticated robotics and computer vision expertise is now being directly applied to create reliable, "real-world" AI solutions for the supply chain.
• Visual Data is the New Inventory Input: Gather AI utilizes hardware like drones, forklifts, and connected machines to collect vast amounts of visual data within a warehouse, moving beyond manual counts and traditional scanning methods to capture inventory status comprehensively and automatically.
• Intralogistics Focus: The primary application of this AI is in intralogistics (operations inside the warehouse), specifically tackling challenges like inventory inaccuracy, cycle counting, and labor efficiency—common pain points for WMS (Warehouse Management Systems) users.
• From Data to Actionable Insights: The platform doesn't just collect data; its core value is using AI to identify specific issues (e.g., misplaced items, damaged inventory, out-of-stock locations) and then suggesting next steps, making the data immediately actionable for warehouse staff.
• Critical System Integration: For successful real-world adoption, the AI platform must integrate seamlessly with Warehouse Management Systems (WMS) and cloud platforms, ensuring the visual intelligence updates the enterprise system of record effectively.
• AI for Operational Efficiency: By automating data collection and analysis, the technology shifts labor away from tedious inventory tasks, allowing personnel to focus on high-value activities, leading to significant gains in operational efficiency and inventory accuracy.
• Industry Validation of Innovation: Recognition through awards like CB Insights' AI 100 and various Supply Chain Partner awards validates that Gather AI's approach is recognized as a leading, commercially viable, and impactful NextGen Supply Chain technology.

Sankalp Arora

Gather AI

Gather AI | Linkedin

Gather AI | YouTube

Case Studies

Gather AI Capabilities 2025

AI Literacy in Logistics with Gather AI's Andrew Hoffman

Gathering Inventory Data with Sankalp Arora

Autonomous Data: Gather AI's Warehouse Vision

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