Improve Warehouse Operations with Quick and Accurate Product Data

How a retail chain used dimensioning data to optimize storage space and improve operations.


In an ever-changing supply chain market, retailers are faced with many challenges.

With inventories and logistical demands becoming increasingly complex in the retail industry, it can feel impossible to determine the most effective way to optimize space in a warehouse.

The biggest hurdle to this challenge is finding accurate product data.

Master Data Analyzer (MDA)

Now you can have better control of your shipping and receiving processes with SICK’s Master Data Analyzer (MDA).

The MDA analyzes and obtains the master data (or dimensioning data) for all goods entering or leaving a facility and sends it to your warehouse management system.

Best of all, every department within a company has access to this data for each product so you can save on package material, optimize warehousing, and decrease transportation costs.

Inventory Management

One retail chain used SICK’s MDA to solve this problem.

Using the product data supplied by the MDA, the company was able to optimize storage space and get accurate data sent to the warehouse management system.

Read our Case Study to learn more about how you can get accurate product data in seconds.

Related Resource

Download the Paper

Enhancing Supply Chain Management with Accurate Dimensioning Data
Retailers today are faced with many different challenges that often require a change in supply chain management. From shifting retail formats to ever-changing technology to inventory management, logistical demands being placed on retailers are becoming increasingly complex and challenging. Download Now!


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SICK is a leading manufacturer of factory, logistics and process automation technology worldwide. With more than 1,000 patents for its products, SICK continues to lead the industry in new product innovations. The diversity of its product line allows SICK to offer solutions at every phase of production in the automotive, packaging, electronics, food and beverage, consumer goods, logistics, parcel, and material handling industries.



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