Sign up


Interview with Fabrizio Fantini, Evo Ceo

  1. Good morning, thank you for this interview and for participating in #GLSummit22. What are you expecting from this event?

In these uncertain times, protecting our supply chains has become a must for every business. #GLSummit22 provides us with an opportunity to connect with other professionals working towards this goal so we can help more businesses thrive, no matter what challenges they face. Plus, we just love networking with this excellent group of experts!

  1. How has the relationship with your clients changed during this difficult period? What do you think they need most and how are you helping them?

Evo’s focus has always been on creating impact, not improving forecasts, so when unexpected disasters upend plans, businesses can still adjust and thrive. This has made all the difference for our clients during this difficult period. In recent years, it has become clear that predictive analytics are not as effective as hoped. Impact is limited by the inherent uncertainties surrounding customer choice and market conditions. When significant disruptions such as a pandemic happen, predictive models cannot adapt efficiently.

Prescriptive AI systems like Evo’s are specifically built to accomplish a particular goal. Unlike predictive models, which can only tell you what is most likely to happen assuming there are no major disruptions, prescriptive models use data to show you how to best achieve your goals, no matter the disruptions. When unexpected events inevitably occur or client preferences change, the prescriptive system can adapt more agilely. We’ve found this approach to be even more critical in these difficult times and are helping all our clients to scale this approach throughout their entire organisations to protect against future shocks.

  1. What would you recommend to a new customer who is contacting you to start the critical digital transformation process? Where should they start when making this huge transition?

People think of digital transformation as a magic bullet that will quickly solve all your problems, but it is only a small part of the equation. You also have to set up processes that support transformation. We first help our clients set up the tools within the larger context of the business, integrating the software into everyday procedures so that the results grow sustainably over time. Our goal is not to reduce your team, but to empower them to do their jobs better, eliminating tedious manual work and freeing them up to do tasks that have a real impact on the bottom line in a better way.

  1. AI, advanced robotics, new technologies and automation are changing industries and work generally as never before in history. This both fascinates and frightens us. Is there a way to make all this a real and powerful improvement for mankind, for the economy and for progress?

At Evo, we say we were built on a human-machine alliance. The goal of our AI is not to eliminate your team’s workload, but rather to improve it. Machines are good at processing data, but they will never be able to fully reason like a human—at least not anytime soon. So we need to combine the strengths of both to maximise impact. And in fact, we have shown that this approach works. When incorporating human input into our tools, we significantly increase inventory efficiency over what AI can achieve alone, averaging an overall 94% allocation efficiency.

PDF from web article

Transcript: English / Italiano

Source: GLSummit Blog

For press-related queries please contact

Hey! Was this page helpful?

We’re always looking to make our docs better, please let us know if you have any
suggestions or advice about what’s working and what’s not!

Send Feedback