platoseed
AI Scheduling for Short Haul Trucks
Dayjob does AI Scheduling for Short Haul Trucks. 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.
Dayjob provides AI scheduling tailored for waste management, specifically skip hire, by integrating with existing booking and ERP systems to optimize route planning and driver assignments. It emphasizes revenue uplift, reduced admin time, and improved on-time performance through an AI scheduling agent designed for the waste industry.
Dayjob plugs into a user's job booking system and telematics, then automatically schedules routes for the next day by considering travel times, skip sizes, and driver schedules. It adapts in real-time to changes during the day, tracks driver performance, and offers views to plan smarter and prioritize work based on distance, customer, or timeslots. It supports ERP integrations with Weighsoft, PurGo, and Wastelogics, with bespoke reports for other ERPs, and provides setup typically within a day accompanied by dedicated support. The platform emphasizes a mobile-desktop workflow oriented toward planners and includes an in-day planner for reallocations and rerouting as needed.
Who itβs for: Waste management companies, specifically skip hire operators and their planning teams
News of funding/hiring is not explicit; mentions CEO/CTO with dedicated support and case studies, with active marketing and customer interest indicators (case study, revenue claims, integrations).
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.
Meet Dayjob, AI Scheduling for Waste Trucks
Dayjob builds scheduling agents that generate full fleet logistics plans for waste management and industrial logistics in approximately 60 seconds, replacing manual planning that typically takes 60-90 minutes.
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AI teammates for logistics

Optimizing fleet planning with data driven algorithms