The Autonomous Warehouse: Moving Beyond Dashboards to AI Agents

Featuring

Watch Now to Learn:

  • The real difference between businesses that have dashboards and businesses that actually use them — and why so much operational data still never turns into a decision.
  • Concrete examples of AI already at work on the floor: automated purchase orders, quote responses that beat competitors to the inbox, warehouse space optimization, and clearing out dead stock before it becomes a write-off.
  • What separates companies ready for AI from those just chasing it, including the data and process gaps worth fixing first, and how a single champion — inside or outside the company — can kick-start adoption.

Speakers:

  • KendrickFishbowl
    Kendrick
    Chief Evangelist
    Fishbowl
  • Ganesh GandhieswaranConverSight
    Ganesh Gandhieswaran
    CEO and Co-Founder
    ConverSight

For 25 years, Fishbowl has helped small and medium manufacturers, distributors, and retailers move beyond spreadsheets and into structured inventory and manufacturing management. As these businesses grow, a new question naturally follows: with more data flowing in than ever, who decides what happens next — and how fast? 

Ganesh Gandhieswaran, CEO and Co-Founder of ConverSight, welcomes Kendrick, Chief Evangelist at Fishbowl, to this episode of the Data Insights Podcast. Together, they take a candid look at what’s really keeping supply chain and manufacturing leaders up at night — from ballooning SKU counts and warehouse capacity strain to cash trapped in aging inventory. Kendrick shares first-hand stories from the SMB manufacturers and distributors he works with every day.

Drawing on two decades inside Fishbowl, Kendrick explains why data readiness has to come before AI readiness, how AI agents are already automating everything from purchase order generation to customer quote responses, and why he expects the shift toward fully autonomous supply chain agents to accelerate sharply over the next three to five years. 

💬 Why Listen?
If your team is buried in dashboards, spreadsheets, and reports but still struggling to turn that data into fast decisions, this episode offers a grounded, real-world playbook for closing the gap between visibility and action — with concrete examples on reducing backorders, clearing dead stock, optimizing warehouse space, and automating procurement with AI agents.

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