Exciting news: Solvice has been acquired by an American operations technology company, Quickbase. With more than 12,000 customers, 750 employees, and 26 years of experience, Quickbase is an established name in the North American enterprise landscape. From day one, our mission at Solvice has been to solve some of the most challenging real-world operational puzzles. Together with Quickbase, we will scale our route optimization and workforce scheduling technology to meet the needs of thousands of organizations solving for complex planning issues every day. Read the full announcement here: https://lnkd.in/e8qFkHRf
Solvice
Software Development
Ghent, Flemish Region 1,165 followers
Solvice lets you automate complex scheduling and operational decisions at scale through intelligent optimization APIs
About us
Solvice provides tools for organizations to automate and optimize their mobile workforce operations across various use cases, including field service, last-mile delivery, home health, waste management, logistics, and transportation. Our algorithms allow you to embed intelligent optimization directly into your software systems through easy-to-implement APIs. At the core are our API-first engines that handle complex scheduling and routing decisions in real time. They allow you to automatically assign tasks, sequence routes, and manage constraints like availability, geography, traffic, time windows, skills, and any constraint relevant to your business. Solvice fits seamlessly into your digital products or back-office systems, without requiring large AI teams or costly custom algorithms. It’s a lean, reliable way to bring AI-driven decision-making into your operations today. With Solvice, your teams make better decisions, faster—while staying focused on the customer experience and business goals.
- Website
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https://www.solvice.io?utm_source=linkedin&utm_medium=url&utm_campaign=general&utm_content=textlink
External link for Solvice
- Industry
- Software Development
- Company size
- 11-50 employees
- Headquarters
- Ghent, Flemish Region
- Type
- Privately Held
- Founded
- 2015
- Specialties
- Analytics, Optimisation, Advanced Planning & Scheduling, Software Engineering, Planning, Rostering, Routing, and data science
Locations
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Primary
Get directions
Dendermondsesteenweg 39
Ghent, Flemish Region 9000, BE
Employees at Solvice
Updates
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A Wharton study of 280 million shifts across 1.3 million retail employees, just published in HBR, found something that should challenge how most organizations approach scheduling: there is no universal policy that reduces turnover. What matters in one store — predictability, rest between shifts, fairness — is statistically irrelevant three cities over. The researchers identified 𝗳𝗶𝘃𝗲 𝗱𝗶𝗺𝗲𝗻𝘀𝗶𝗼𝗻𝘀 𝗼𝗳 𝘀𝗰𝗵𝗲𝗱𝘂𝗹𝗶𝗻𝗴 𝗾𝘂𝗮𝗹𝗶𝘁𝘆 (consistency, predictability, control, physical fatigue, fairness) and showed that which ones drive churn depends entirely on local context: workforce segment, store format, regional labor market. The practical implication, for anyone building or operating scheduling systems, is that local context can't be treated as an edge case. It needs to be 𝗲𝗻𝗰𝗼𝗱𝗲𝗱 𝗮𝘁 𝘁𝗵𝗲 𝗰𝗼𝗿𝗲 — as constraints that reflect what's actually non-negotiable in a given operation, not bolt-on rules after the fact. The article is framed around retail, but the same dynamics show up in field service, healthcare, and anywhere shift-based coordination meets real human variability. Worth reading in full → The Solution to Service-Worker Churn — HBR, March–April 2026 - https://skd.so/bfDZU3 -
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📍 New offices, same ambition! As of today, Solvice has a new home — with arguably the most "Ghent" view possible: the three towers of Sint-Baafs, the Belfort, and Sint-Niklaas right out the window. It's a good reminder of where we started. But the work we do here reaches a lot further — customers running on Solvice APIs today span from Sydney to Vancouver, Berlin to San Francisco. Great companies don't grow in isolation. Ghent's tech scene is proof of that — and we're proud to be rooted in it.
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Top 3 constraints that break manually-built mobile workforce schedules: 1. Technician skill requirements (not just availability) 2. Customer time window preferences 3. Travel time underestimates All three are configurable parameters in the Solvice OnRoute optimization API. https://skd.so/ysQa0v
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𝗦𝗼𝗹𝘃𝗶𝗰𝗲 + 𝗠𝗶𝗰𝗿𝗼𝘀𝗼𝗳𝘁 𝗗𝘆𝗻𝗮𝗺𝗶𝗰𝘀 𝟯𝟲𝟱: 𝗣𝗮𝗿𝘁𝗻𝗲𝗿-𝗗𝗿𝗶𝘃𝗲𝗻 𝗜𝗻𝘁𝗲𝗴𝗿𝗮𝘁𝗶𝗼𝗻 Our Dynamics 365 Field Service integration is gaining traction through implementation partners like Infront, Savaco and more, who are deploying it across industries where standard Microsoft RSO doesn't fully address complex routing requirements. Why partners are choosing this approach: • API-first architecture makes integration straightforward—OAuth setup, pull resources and work orders, optimize, return results • Handles constraints Microsoft RSO doesn't natively support (multi-day planning, advanced capacity rules, custom objectives) • Works alongside existing Dynamics 365 implementations without disrupting current workflows • Provides optimization capabilities that match specialized routing needs We're actively working with multiple partners to bring advanced route optimization to Dynamics 365 users in utilities, facility management, healthcare services, and logistics. If you're implementing Dynamics 365 Field Service and need routing capabilities beyond RSO, the integration documentation walks through the technical setup: https://lnkd.in/ed-nU3-u - https://skd.so/ceFIsK - #Partners #Dynamics365 #FieldService #Integration
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𝗙𝗿𝗼𝗺 𝗠𝗮𝗻𝘂𝗮𝗹 𝗣𝗹𝗮𝗻𝗻𝗶𝗻𝗴 𝘁𝗼 𝗔𝘂𝘁𝗼𝗺𝗮𝘁𝗲𝗱 𝗠𝘂𝗹𝘁𝗶-𝗪𝗲𝗲𝗸 𝗥𝗼𝘂𝘁𝗲 𝗢𝗽𝘁𝗶𝗺𝗶𝘇𝗮𝘁𝗶𝗼𝗻 De Lijn, Belgium's public transportation company, handles thousands of field service tasks weekly—stop repairs, maintenance requests, infrastructure changes. Their challenge: creating capacity plans and optimal routes for dozens of field employees across multiple weeks. Working with integration partner Infront (Cronos Group), De Lijn integrated Solvice's long-term route optimization with their Dynamics 365 Field Service system. The operations team now generates optimized multi-week schedules automatically, eliminating manual route planning for thousands of tasks. The integration pulls work orders directly from Dynamics 365, optimizes routes based on employee skills, time windows, and task priorities, then feeds results back into the scheduling board. Field teams see their optimized routes directly in the Dynamics interface they already use. This is one example of how organizations are extending Dynamics 365 capabilities for complex routing scenarios that go beyond standard RSO functionality. Read the full case study: https://skd.so/zVDePo #FieldService #CaseStudy #Dynamics365 #Transportation
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𝗨𝗽𝗴𝗿𝗮𝗱𝗶𝗻𝗴 𝗠𝗶𝗰𝗿𝗼𝘀𝗼𝗳𝘁 𝗗𝘆𝗻𝗮𝗺𝗶𝗰𝘀 𝟯𝟲𝟱 𝗙𝗶𝗲𝗹𝗱 𝗦𝗲𝗿𝘃𝗶𝗰𝗲 𝘄𝗶𝘁𝗵 𝗔𝗣𝗜-𝗙𝗶𝗿𝘀𝘁 𝗥𝗼𝘂𝘁𝗲 𝗢𝗽𝘁𝗶𝗺𝗶𝘇𝗮𝘁𝗶𝗼𝗻 Microsoft's Resource Scheduling Optimization (RSO) provides baseline scheduling for Dynamics 365 Field Service. But organizations handling complex routing scenarios—multi-day routes, time windows, capacity constraints—often need more. Solvice's VRP API integrates directly with Dynamics 365 through a straightforward OAuth connection. Pull work orders and resources from your Dynamics instance, send them to Solvice for optimization, and push optimized routes back to your field teams. The integration supports: • Real-time route updates without disrupting in-progress jobs • Complex constraint handling (time windows, skills, capacities) • Multi-day optimization for long-term planning • Custom optimization objectives beyond basic travel time We're seeing this integration deployed by multiple partners across field service operations in transportation, utilities, and facility management. Technical documentation: https://skd.so/dIeeBd #FieldService #RouteOptimization #Dynamics365 #API
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𝗢𝘂𝗿 𝗱𝗮𝘀𝗵𝗯𝗼𝗮𝗿𝗱 𝗷𝘂𝘀𝘁 𝗹𝗲𝘃𝗲𝗹𝗲𝗱 𝘂𝗽. 🚀 The Solvice Dashboard has evolved into a full platform – visualize and explain your optimization runs in seconds. Use the Solvice AI agent to get a detailed insight in each optimization run. https://skd.so/Is5JJF
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𝗬𝗼𝘂𝗿 𝗿𝗼𝘂𝘁𝗲 𝗼𝗽𝘁𝗶𝗺𝗶𝘇𝗲𝗿 𝗶𝘀 𝗺𝗮𝘁𝗵𝗲𝗺𝗮𝘁𝗶𝗰𝗮𝗹𝗹𝘆 𝗰𝗼𝗿𝗿𝗲𝗰𝘁. 𝗬𝗼𝘂𝗿 𝗱𝗿𝗶𝘃𝗲𝗿𝘀 𝘀𝘁𝗶𝗹𝗹 𝗵𝗮𝘁𝗲 𝗶𝘁. Here's a scenario that happens every day in Last Mile delivery: The algorithm sends your courier to Street A at 9 AM, then across town to Street B, then... back to Street A at 2 PM. Total route time? Optimized. Driver experience? Frustrating. 𝗧𝗵𝗲 𝗽𝗿𝗼𝗯𝗹𝗲𝗺: traditional route optimization treats every job as an independent point in space. It minimizes travel time but ignores geographic clustering. You end up with routes that revisit the same neighborhoods multiple times because the algorithm saved 3 minutes somewhere. Most systems solve this by forcing you to pre-group jobs into zones or merging nearby stops. Both approaches kill flexibility. 𝗪𝗲 𝘁𝗼𝗼𝗸 𝗮 𝗱𝗶𝗳𝗳𝗲𝗿𝗲𝗻𝘁 𝗮𝗽𝗽𝗿𝗼𝗮𝗰𝗵 𝘄𝗶𝘁𝗵 𝗝𝗼𝗯 𝗣𝗿𝗼𝘅𝗶𝗺𝗶𝘁𝘆 𝗦𝗰𝗼𝗿𝗶𝗻𝗴. Instead of hard geographic boundaries, proximity becomes a soft optimization signal. The algorithm encourages completing nearby jobs consecutively (all apartments in one building, all deliveries on one street) while still maintaining flexibility for time windows, capacity constraints, and real-time changes. You set a proximity radius (50m-1500m) and a weight. The optimizer does the rest—balancing geographic clustering with all your other constraints. 𝗧𝗵𝗲 𝗿𝗲𝘀𝘂𝗹𝘁: routes that feel intuitive to drivers without sacrificing the flexibility you need for complex scheduling. Read the full breakdown of how it works, when to use it, and implementation details:
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𝗢𝘂𝗿 𝗱𝗮𝘀𝗵𝗯𝗼𝗮𝗿𝗱 𝗷𝘂𝘀𝘁 𝗹𝗲𝘃𝗲𝗹𝗲𝗱 𝘂𝗽. 🚀 The Solvice Dashboard has evolved into a full platform – and it's unlike anything we've built before. ✅ Visualize optimization runs on maps and Gantt charts ✅ AI-powered demo runs for instant testing ✅ Deep constraint analysis and alternative solutions ✅ Complete API usage management in one place This is what happens when you listen to customers who are building real scheduling solutions. Want the full tour? Check out our latest blog post 👇 Your Optimization Command Center - https://lnkd.in/eXvNUgH7 - #RouteOptimization #FieldService #LastMileDelivery #API #SaaS
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