Dayjob
ActiveAI Agents for Industrial Logistics
About
Dayjob builds autonomous AI workers for transport operations. Our scheduling agent plugs into existing ERPs and continuously re-optimises routes in real time - handling new jobs, driver changes, and exceptions automatically. Customers in waste management see 8%+ efficiency gains from day one.
Founders · 2
Building Dayjob - autonomous AI agents that run transport operations in real time. Before this, I built Gaea, an ERP for e-waste recyclers. I was an early employee at Deliveroo (acq. Doordash 2025) and launched their UK grocery business, and previously led sales at Otta (LocalGlobe-backed job search platform).
Building Dayjob - autonomous AI agents that run transport operations in real time. Previously built Gaea, an ERP for e-waste recyclers, from scratch. Engineering Science at Oxford. Background in AI and Data Science at Deloitte and Capgemini.
Launch
Meet Dayjob, AI Scheduling for Waste Trucks
Dayjob provides an AI scheduling agent that sits on top of existing ERP software to generate full fleet plans for waste trucks in about 60 seconds, aiming to improve efficiency and on-time slot adherence for waste-collection fleets. The product targets waste management and broader industrial logistics markets, with early results showing 5-10% fleet efficiency gains and a 50% improvement in meeting time windows.
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