Dayjob
Dayjob provides an AI-driven scheduling and route optimization platform for field service and waste management companies, specifically designed for roll-off operations. The platform integrates with existing job management systems and vehicle GPS to automatically plan routes based on travel times, container sizes, and driver schedules. Dayjob reports reducing rolled jobs by 66% and boosting annual revenue by 11% for its customers.
- Logistics & Supply Chain
- Artificial Intelligence
- Mobility & Transportation
- Software Only
Funding
Founders
Founder details are not available yet.
Product
Problem
Field service and waste management companies lose significant margin due to inefficient scheduling and route planning. Manual planning fails to account for real-world variables like travel times, container sizes, and driver availability, leading to rolled jobs, underutilized trucks, and reduced revenue.
Solution
Dayjob.ai provides an AI-driven scheduling and route optimization platform that integrates with existing job management systems and vehicle GPS. The platform automatically plans routes by factoring in travel times, container sizes, and driver schedules, enabling companies to complete more jobs per truck every day. It also tracks driver performance to help teams assign the right jobs to the right people. By using real-world planning data, Dayjob reduces rolled jobs by 66% and boosts annual revenue by 11%, based on 3,687 additional jobs completed in one year. The solution works alongside systems companies already use, minimizing disruption and accelerating adoption.
Target Audience
Primary customers are field service and waste management companies, specifically roll-off operators, that run fleets of trucks and need to maximize daily job completion rates while minimizing scheduling inefficiencies.
Features
- AI-powered route optimization that factors in travel times, container sizes, and driver schedules
- Integration with existing job management systems and vehicle GPS for seamless data flow
- Driver performance tracking to identify efficiency gaps and assign jobs appropriately
- Automatic prioritization of the most important work earlier in the day, with priorities set on distance, customer, or timeslots
- In-day planner that adapts and re-plans schedules in response to last-minute job changes
- Real-world planning logic that reduces rolled jobs by 66% and delivers 11% annual revenue growth, based on 3,687 additional jobs completed per year
- Cloud-based platform hosted on secure AWS architecture with strict access controls