{"id":1788,"date":"2025-05-15T20:33:24","date_gmt":"2025-05-15T18:33:24","guid":{"rendered":"https:\/\/hubrise.it\/?p=1788"},"modified":"2025-06-10T09:16:48","modified_gmt":"2025-06-10T07:16:48","slug":"picking-list-esempi-e-best-practice","status":"publish","type":"post","link":"https:\/\/hubrise.it\/en\/blog\/picking-list-esempi-e-best-practice\/","title":{"rendered":"Picking list: what it is, examples, and best practices for error-free picking"},"content":{"rendered":"

In the world of e-commerce and logistics, one of the most underrated yet essential tools for avoiding errors during the picking process is the picking list<\/strong>, or pick list<\/strong>.<\/p>\n\n\n\n

In this article, we will explore what a picking list<\/strong> is, what it\u2019s used for, which data it should contain, and how it can be automated to significantly improve inventory management and order fulfillment.<\/p>\n\n\n\n

\"picking<\/figure>\n\n\n\n

Picking list meaning: definition and key functions<\/strong><\/strong><\/strong><\/strong><\/strong><\/h2>\n\n\n\n

The picking list<\/strong> is a document, whether physical or digital, that contains all the information a warehouse operator needs to pick the products destined for an order. In other words, it serves as an operational guide that enables precise and orderly retrieval of the requested items, minimizing errors and speeding up the entire logistics process.<\/p>\n\n\n\n

The picking list<\/strong> ensures that the right products are picked in the correct quantity and in the shortest possible time. Warehouse efficiency also hinges on these details. A well-structured pick list<\/strong> improves order accuracy, optimizes picking<\/strong><\/a> routes, and helps maintain a high level of service.<\/p>\n\n\n\n

Essential data of a pick list: SKU, location, quantity.<\/strong><\/strong><\/strong><\/strong><\/strong><\/h3>\n\n\n\n

For a pick list<\/strong> to be effective, it must contain some fundamental data. The first is the SKU<\/strong>, that is, Stock Keeping Unit, a unique identification code for each product. This code allows the operator to avoid confusing similar items and to immediately verify that the picked product is the correct one.<\/p>\n\n\n\n

Another piece of data is the product\u2019s physical location within the warehouse. Whether it\u2019s a shelf, an aisle, or a numbered bin, the precise indication of the position prevents wasted time and reduces the possibility of errors. Finally, quantity is the information that determines how many units to pick for each SKU listed in the pick list.<\/strong> Without this information, the risk of under-picking or over-picking is high.<\/p>\n\n\n\n

Picking methods: from wave to batch (and how to choose)<\/strong><\/strong><\/h2>\n\n\n\n

There are several picking<\/strong> methods, and the choice depends on various factors such as order volume, warehouse layout, and the type of products handled. One of the most common is wave picking<\/strong>, which involves grouping multiple orders into waves, optimizing operators\u2019 time and improving coordination between picking<\/strong> and shipping.<\/p>\n\n\n\n

Another technique is batch picking<\/strong>, which allows picking multiple orders at once, but only if they contain the same items. Zone picking<\/strong>, on the other hand, involves each operator working in a specific area of the warehouse and picking only the items located in that zone. Discrete picking<\/strong> is the simplest method, where each order is picked individually. The choice of the most suitable method depends on the specific needs of the warehouse and the level of automation in place.<\/p>\n\n\n\n

Automating the picking list with technological solutions<\/strong><\/strong><\/h2>\n\n\n\n

Relying on a digital picking list<\/strong> is today a strategic choice for any company aiming to increase operational efficiency. The technological solutions available on the market allow for generating automatic pick lists<\/strong> in real time, based on inventory data and incoming orders. This means completely eliminating transcription errors and speeding up picking<\/strong> operations.<\/p>\n\n\n\n

Thanks to integrated management software and warehouse management systems (WMS), it is possible to create pick lists <\/strong>directly from the order management platform, automatically updating stock levels and tracking every stage of the picking process.<\/p>\n\n\n\n

\"picking<\/figure>\n\n\n\n

Integration with inventory management and order processing<\/strong><\/strong><\/strong><\/strong><\/strong><\/strong><\/strong><\/h3>\n\n\n\n

A picklist<\/strong>, to be truly effective, must be integrated with the inventory management<\/a> and order processing systems. Integration enables the automation of the operational flow: from order arrival to the generation of the pick list<\/strong>, through picking and real-time stock updates. The most advanced inventory management services also allow you to monitor operator performance, analyze historical picking data, and anticipate potential logistical bottlenecks.<\/p>\n\n\n\n

Thanks to cloud solutions like those offered by Hubrise<\/strong>, you can easily connect the warehouse management system with a physical store or your e-commerce platform, centralizing information and streamlining multichannel logistics.<\/p>\n\n\n\n

Success metrics: accuracy, UPH, and lead time<\/strong><\/strong><\/strong><\/h2>\n\n\n\n

Measuring the effectiveness of a picking list<\/strong> is not limited to picking speed. There are specific metrics that help assess process quality and identify potential improvement areas. The first is picking<\/strong> accuracy, i.e., the percentage of orders picked correctly on the first attempt. Low accuracy is a warning sign that may indicate issues in the pick list<\/strong> structure or operator training.<\/p>\n\n\n\n

UPH (Units Per Hour) measures the number of units picked per hour by each operator. Finally, lead time\u2014that is, the time elapsed between order receipt and its shipment\u2014is a metric for evaluating the warehouse\u2019s responsiveness and the level of service provided to the customer.<\/p>\n\n\n\n

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Nel mondo dell\u2019e-commerce e della logistica uno degli strumenti pi\u00f9 sottovalutati ma fondamentali per evitare errori durante il processo di 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