Dayjob
Dayjob provides an AI-powered scheduling platform for waste and haulage companies, automatically planning daily routes by factoring in travel times, container sizes, and driver schedules. The system integrates with existing job management systems and vehicle GPS to reduce rolled jobs by 66% and boost annual revenue by 11%. The platform also tracks driver performance to help teams assign jobs to the most efficient drivers.
- Logistics & Supply Chain
- Artificial Intelligence
- Mobility & Transportation
- Software Only
Funding
Raised to date
$500KRaised to date based on public sources. This may differ from the amount the company actually raised and is based only on what is publicly available on the internet.
Founders
Founder details are not available yet.
Product
Problem
Waste and haulage companies lose significant margin due to inefficient scheduling, resulting in rolled jobs, underutilized trucks, and missed revenue opportunities. Manual planning fails to account for real-world variables like travel times, container sizes, and driver availability, leading to suboptimal daily operations.
Solution
Dayjob provides an AI-powered scheduling platform that automatically plans routes by factoring in travel times, container sizes, and driver schedules. The system pulls jobs directly from existing job management systems and links with vehicle GPS to create real-world, executable daily plans. By optimizing job allocation and sequencing, Dayjob helps companies complete more jobs per truck each day, reduce rolled jobs by 66%, and boost annual revenue by 11%. The platform also tracks driver performance, enabling teams to assign the right jobs to the most efficient drivers and continuously improve operational productivity.
Target Audience
Primary customers are waste management and haulage companies that operate fleets of trucks and need to maximize daily job completion rates while minimizing operational inefficiencies.
Features
- AI-driven route optimization that accounts for travel times, container sizes, and driver schedules
- Integration with existing job management systems and vehicle GPS for seamless data flow
- Driver performance tracking to measure efficiency and inform job assignment decisions
- Real-world planning that prioritizes paid work earlier to reduce rolled jobs
- Cloud-based platform with secure AWS architecture and GDPR-compliant data handling