Picking: Always the right item

“Our aim was to present picking processes effortlessly through a user-friendly visualisation of the various picking scenarios and to display them optimally on smartphones,” says Ilja Tremasow, Marketing at COGLAS. The revamped picking system from COGLAS therefore focuses on the intuitive and targeted control of processes, tailored to the customer’s individual requirements.

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Fast order picking must not come at the expense of quality. After all, picking the wrong items leads to returns and, consequently, a loss of customer trust. COGLAS helps prevent incorrect deliveries in a number of ways:

• The system detects incorrectly stored items. When confirming the order, it compares the scanned item number with the item number on the order and flags any discrepancies.
• The picker sees an error message and can only complete the order once the correct goods are available. This saves additional effort in the form of quality checks, particularly for batches or perishable products.

“Our customers confirm that, following the introduction of the COGLAS logistics software, they have seen a reduction in complaints and returns,” says Mr Tremasow. “Their stock-taking has also been simplified because fewer stock discrepancies have accumulated.”

The redesigned interface highlights all relevant information, ensuring that users receive instructions specifically tailored to the current stage of the picking process. This filtered data helps to optimise speed and reduce error rates. In addition, COGLAS has adapted the display to suit all screen sizes: the software company has specifically refined the current design for tablets, smartphones and handheld devices.

Thanks to configurable user profiles, system administrators are able to control permissions within the picking process. For example, experienced staff can be granted substantial rights such as stock corrections. External staff, on the other hand, are only authorised to initiate a stock count in the event of stock discrepancies, in order to avoid significant stock posting errors.