In AI-driven scheduling and optimization, understanding the "why" behind automated decisions is critical. That's why at Solvice, we've introduced our Explainable AI feature, now in beta for our FILL API and VRP API solvers.
This new feature does more than just execute; it explains. By initiating an in-depth analysis upon request, users can investigate every alternative decision the AI could have made.
Here’s how it works:
1. 𝗧𝗿𝗶𝗴𝗴𝗲𝗿 𝘁𝗵𝗲 𝗘𝘅𝗽𝗹𝗮𝗻𝗮𝘁𝗶𝗼𝗻: Users can request insights into specific AI decisions.
2. 𝗗𝗶𝘀𝗰𝗼𝘃𝗲𝗿 𝗔𝗹𝘁𝗲𝗿𝗻𝗮𝘁𝗶𝘃𝗲𝘀: The feature explores all feasible alternative assignments for a given decision, enabling users to see a range of potential outcomes.
3. 𝗘𝘃𝗮𝗹𝘂𝗮𝘁𝗲 𝘁𝗵𝗲 𝗜𝗺𝗽𝗮𝗰𝘁: Each alternative is scored to show its potential effectiveness compared to the chosen solution. This not only demonstrates the AI’s reasoning but also highlights how minor adjustments could optimize results.
By offering a clear window into the decision-making process, Explainable AI empowers users to trust the AI system, understanding not just what decisions are made, but why they are the best choices.
Want to see how it can change the way you interact with AI? Dive into the world of Explainable AI with us.
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Digital Marketing Executive at Oxygenite
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