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At Rebike, our mission is to refurbish used E-Bikes, restore them to peak condition, and resell them at affordable prices. Our ERP system powers a meticulous refurbishment process, capturing critical data at every step.

The German bike industry, though strong, struggles with digitalization due to the absence of unified data standards, which makes it nearly impossible to obtain, organize, and analyze accurate data. From Rebike's inception, we’ve had to deal with countless (theoretically) avoidable errors and delays due to data inconsistencies. The refurbishment process hinges on replacing spare parts, which requires a well-organized warehouse, a smooth ordering process, and precise inventory tracking to forecast reorder timelines without disrupting the refurbishment workflow.

Facing this challenge head-on, our team collaborated with three bike experts to tackle what seemed impossible: creating our own standardized data ecosystem with rigorous rules and a resilient database architecture. Over these past weeks, we've engineered a comprehensive database schema, completely overhauled our backend, and crafted an intuitive, sleek UI that empowers users to effortlessly identify and locate spare parts. Have a look.