The largest manufacturer and supplier of home carbonation systems, SodaStream, has decided to implement Zetes’ ZetesMedea solution in its Israeli production campus, ensuring the precise identification of stock and full visibility of its production line.

SodaStream’s production site in Israel contains conveyor belts, which transport cases from six lines out to their logistics centre. Previously, staff manually counted the cases as they moved from the conveyors prior to being loaded for delivery. This process was error-prone and left an information gap when staff were unable to effectively analyse the exact numbers at the end of each shift. As such, the organisation sought a solution that could monitor and accurately calculate stock as it moves through the production line.

Zetes’ palletisation software, ZetesMedea, uses high-quality camera identification to scan the barcodes on each case, providing SodaStream with a reliable and accurate inventory count. The solution also reads and decodes 100% of the cases as they travel on the conveyors. The data, which includes product information, is automatically captured in real-time, allowing managers to monitor and proactively optimise performance processes.

“After examining a number of systems that failed to meet our needs, we were pleased to see that Zetes’ technology surpassed our original requirements. Since implementing ZetesMedea we have been impressed with the results and delighted with the consultancy and professionalism displayed by the team at Zetes. From start to finish, it’s been a partnership. Zetes have listened to all of our requirements, advising and implementing the solution best suited to our business,” said Tomer Ariel, Project Manager, SodaStream.

In addition, ZetesMedea integrates seamlessly with the existing legacy software providing a broad and accurate picture of item movements. The solution has also extended capability by monitoring the output volume of cases on the lines and calculating the production rate during a shift, informing staff in real-time of KPI performance.

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