GIGO is a common phrase in the IT world that has a direct impact on warehouse data accuracy. It means ‘garbage in, garbage out’ and refers to the fact that any system is only as good as the data it is given to work with.
The efficient operation of any warehouse relies on good, accurate data. Significant improvements to processes, with real business benefits can only be made when you know what’s being moved, where and when. However, data collection in warehouses is often prone to error, which can have a knock-on effect on pallet movement and warehouse throughput.
The manual scanning of pallets and drop locations runs the risk of falling foul of human error. Wrong locations can be entered and stock can be placed in the wrong place. All of this leads to:
- Time wasted in locating misplaced pallets
- Increased chance of mis-picks
- Additional resources required to remedy errors
- Ultimately – your warehouse won’t be running as efficiently as it could be.
So what’s the answer?
We’d go for removing the source of the errors i.e. manual data entry. This doesn’t entail some terminator style machine army, just adopting some automation technology that takes care of the fiddly job of scanning so your drivers can concentrate on driving.
By ensuring every scan is accurate, your data is going to improve as a result. There are also knock on benefits to be had as a result of automating your data collection. So take out the trash and regain reliable data in your warehouse.