An issue that many companies face when looking at their parcel data is spotting trends by receiver or shipper. Even the simplest mistakes or entries can cause issues with your data. Best practices suggest using system driven receiver and shipper information to create consistency, but that is not always possible, such as third-party shipments, customer entered data, etc. The result is many transactions with slight variations in name or address, when really it is all the same.
There are so many different fields of entry when shipping, that it is easy for variations to occur, and that makes it hard to connect data. For example, a company's name changes between shipments, (ABC Co. vs. A.B.C. Company) or an address is entered with an inconsistent street abbreviation. Instead of putting the word "St" you enter "St." or "Street." There are so many variations that could be entered, resulting in more data that is spread out and flat. This makes it harder to see the data grouped and organized.
Over time, these small errors can end up costing your company a lot of time and money because you can look at the big picture, or catch outliers, and it is not uncommon that you might not even realize it is happening.
If you want to spot trends and issues, you need to be able to group multiple shipments over time. Parcel BI uses artificial intelligence to create sender and receiver groups so you can spot trends and bigger issues that might be hard to find otherwise because the data is variant. Properly grouped transactions provide deeper insight and gives you greater control.
With Parcel BI, we clean up the outliers, group transactions, and reveal more opportunity. With a clearer picture, you become empowered with accurate information, and great things happen when you connect with your data.
If you want to see how Parcel BI can work for you, contact us today or try our free demo on our site