Optimize and automate scheduling with the Solvice optimization APIs
Solvice offers custom pricing plan
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Solvice adds a layer of artificial intelligence to scheduling solutions. Its route optimization API offers and resource scheduling APIs are among the fastest and most sophisticated on the market. Its customers are software platforms and end customers in field services, last-mile ... Read More
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OnShift
Monthly active employees: Up to 50 Cost per employee: € 7,00
Monthly active employees: 50 to 500 Cost per employee: € 5,00
Monthly active employees: 500 to 1.000 Cost per employee: € 4,00
Monthly active employees: > 1.000 Cost per employee: custom
Manage labor cost
Predict future demand
Schedule employees automatically
Manage real-time tasks
OnRoute
Monthly active vehicles: Up to 50 Cost per vehicle: € 10
Monthly active vehicles: 50 to 500 Cost per vehicle: € 8
Monthly active vehicles: 500 to 1.000 Cost per vehicle: € 7
Monthly active vehicles: > 1.000 Cost per vehicle: custom
Daily Route Optimization
Long-term Route Optimization
Pickup & Delivery
Load Capacity Optimization
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Disclaimer: Pricing information for Solvice is provided by the software vendor or sourced from publicly accessible materials. Final cost negotiations and purchasing must be handled directly with the seller. For the latest information on pricing, visit website. Pricing information was last updated on .
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Solvice adds a layer of artificial intelligence to scheduling solutions. Its route optimization API offers and resource scheduling APIs are among the fastest and most sophisticated on the market. Its customers are software platforms and end customers in field services, last-mile delivery, and workforce scheduling. The Solvice algorithms solve the most complex scheduling challenges, ensuring compliance with labor laws and boosting performance. Solvice delivers a mix of cutting-edge mathematical optimization, heuristics, and machine learning in an easy-to-implement API to add optimization AI to your application in weeks rather than months.
Disclaimer: This research has been collated from a variety of authoritative sources. We welcome your feedback at [email protected].
Researched by Rajat Gupta
