Syncore and Sereact
Rollout of more than 100 AI-controlled Robot Systems planned
Syncore (formerly known as Reesink Logistic Solutions) and Stuttgart-based AI robotics company Sereact are deepening their partnership. At Logimat, the companies signed a letter of intent to expand their partnership with the aim of introducing more than 100 robot systems in the coming years.
Sereact robots are already being used by some of Syncore's fulfillment service providers and retail customers, including Deltilog, Monta and World of Sweets. The experience from these projects shows: The need for flexible, AI-supported automation is increasing across all industries.
"The results we are seeing with our customers have completely convinced us," says Machiel van den Hazelkamp, CCO of Syncore. "We believe in strong scaling effects and assume that AI-based robotics will become the standard in warehouse logistics in the coming years."
In addition to pick-and-place applications, in which Sereact robots autonomously pick and place a wide variety of items without prior training, and the AI-based inventory monitoring system Sereact Lens, the partnership is now also increasingly focusing on returns handling. Returns are considered one of the biggest pain points in logistics and have long been too complex for conventional automation solutions. This is precisely where the new dual-arm robotics from Sereact opens up a completely new field of application. The two-armed robot stations handle returns flexibly, check them and put them back into storage. According to the companies, there is enormous development potential here, which is to be tapped into jointly.
"Returns handling is one of the biggest cost drivers for many of our customers. The fact that Sereact can now automate this process opens up a field of application that our customers have been asking about for a long time," explains van den Hazelkamp.
A key strategic advantage of the growing robot fleet is that each system generates data in real operation, which Sereact's Cortex AI model learns from. The more robots are in use, the more efficient all systems become. A continuous self-improvement that becomes more effective with each new installation.
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