News

Unlocking the Black Box: Explainable AI in Resource Scheduling

In artificial intelligence (AI), the inner workings are typically a black box: complex, opaque, and understood only partially, even by the select few who created it. However, in resource scheduling, where decisions have tangible impacts on efficiency and employee satisfaction, understanding the "why" behind these decisions is not just a luxury—it's a necessity. Solvice is pioneering by launching our Explainable AI feature, a cutting-edge development that will drive adoption and avoid churn for AI scheduling solutions.

by
Bert Van Wassenhove
Guides

Breaking down work orders with JOB RELATIONS

News

Route Optimization for multiple vehicle profiles

Guides

Google Routes API Alternatives: Route Optimization APIs For 2024

News

AI at Work: Pioneering the New Era of Smart Scheduling Solutions

Guides

A Comprehensive Guide to Route Optimization

News

Three ways to build customer portals

News

Beyond Chatbots: Why Direct Access to Scheduling Systems Outshines AI Conversations

Releases

OnRoute 2.0: More, better and higher complexity at your fingertips

News

Book Review: "In Pursuit of the Traveling Salesman: Mathematics at the Limits of Computation" by William J. Cook

News

Suggest functionality for better customer service

Releases

OnRoute v2 is now entering its beta phase

News

Artificial Intelligence and Solvers: A Path to Sustainable Development Goals

Releases

Empowering Demanding Customers in Last-Mile Delivery and Field Service: Introducing OnRoute 2.0

News

Solvice and Planon bring AI power to building management.

News

The Imperative of Explainable AI: Demystifying the Black Box

Research

Picking and labor optimization give online grocery a competitive edge

Research

How Does a Manufacturer Achieve Optimal Warehouse Demand Planning?

Get more insights