AI scheduling agents for short-haul trucking that plug into a fleet's existing ERP and continuously re-optimise routes, driver changes, and exceptions in real time.
The bet
That short-haul planning is too complex for humans: AI agents on existing ERPs, starting with waste, can replace manual scheduling and become logistics' operating layer.
George Postlethwaite (an early Deliveroo employee who had built Gaea, an ERP for e-waste recyclers) and Fred Fooks, who met at Oxford, started building ERP and inventory software for waste operators in October 2022 after watching planners at depots manually drag jobs onto routes each morning; they generated $150K in revenue.
Two lessons emerged: large operators would not migrate ERPs, and better UI did not fix the real problem - manual decision-making at scale. In January 2025 they pivoted to Dayjob, layering AI scheduling agents on top of existing ERPs instead of replacing them. Sales began August 2025; by launch ARR was $496K and grew to $653K within seven months. Customers in waste management report 8%+ efficiency gains from day one and 50% better hit rates on customer time slots; one customer cited an £800K first-year revenue uplift. Dayjob joined YC's Spring 2026 batch as a five-person London team.
Still live. Dayjob is expanding from UK waste fleets into the US short-haul market, with three more agents covering the full operational workflow planned later in 2026.
Route planning looks like a feature problem but is a decision-making bottleneck: humans cannot continuously re-optimise hundreds of live constraints, and planners burn out within about 18 months.
Waste was a deliberate wedge: its high variability and tight regulatory rules make it the hardest planning environment, so success there is proof the agent generalises.
Layering on existing ERPs removed the adoption barrier - operators refused to migrate - turning Dayjob from a replacement sale into an outcome sale.
Don't fight incumbents' installed base: operators would not migrate ERPs, so Dayjob layered agents on top and sold the outcome - plans that stay current - instead of a replacement system.
As of September 2026, Dayjob remains active as a five-person London team backed by Y Combinator's Spring 2026 batch. It is live with fleets in the UK and launching in the US short-haul market, reporting $653K ARR within seven months of first sales. The company plans three more agents covering pricing, booking, and the rest of the operational workflow, and frames success as becoming the layer that runs transport operations in real time.
FOLLOW THE EVIDENCE
The sources
- Dayjob: AI Agents for Industrial Logistics (Launch YC) Y Combinator · ycombinator.com
- Dayjob: AI Scheduling for Short Haul Trucks Y Combinator (company page) · ycombinator.com
- YC-Backed Dayjob Launches AI Agent for Waste Transport Scheduling Founderland · founderland.ai ·