While many debate the future of AI, at Silodisa we are already using it to solve the oldest mathematical dilemma of the warehouse: perfect resource allocation. In the last year, there hasn't been a conversation in the industry—from boardrooms to Supply Chain forums—that hasn't mentioned Artificial Intelligence. However, there is a massive gap between "talking about AI" and applying it on the operations floor, where the rubber meets the road. For many, technology remains a fut

In the era of nearshoring and immediacy, measuring success with last month's data is like driving while looking in the rearview mirror. Here is how Silodisa measures today's "operational truth." In the logistics world, there is a popular phrase often heard in corporate corridors during quarterly reviews: "The numbers look good." But at Silodisa, we have realized that this phrase is dangerous. A "good" average from three months ago is useless to the client who needs their merc

In an industry where yesterday is already ancient history, the best decisions rely on the operational truth of the last ten days. In the logistics industry, there is a constant temptation to look in the rearview mirror. Many operations are managed based on monthly or quarterly reports. While useful for accounting, these are often irrelevant for daily operational agility. Relying on a "good average" from last semester to evaluate today's efficiency is equivalent to driving a v