A long-awaited improvement to Ultracker drum returns: draft saving adds flexibility
The latest Ultracker update introduces a highly requested enhancement to the drum return process. Users can now save a drum return as a draft immediately after entering the basic information and continue processing it later.
Previously, drum returns had to be completed in a single session. With the new draft-saving functionality, creating returns is now much more flexible. Users can start a return, save it as a draft, and come back later to add the drums to be returned once all the necessary information is available.
Complete drum returns on your own schedule
The new feature allows drum returns to be saved at any stage of the process, as many times as needed. This is particularly useful when not all returnable drums have been identified or are available when the return is first created. A draft return retains all previously entered information, allowing work to continue seamlessly without having to re-enter the same data.
Improved collaboration
Another significant benefit is that any user can continue working on a draft drum return. If one user creates a return and saves it as a draft, another user can later add the remaining drums and complete the return process. This enables smoother collaboration between construction sites, warehouses, and logistics teams while reducing bottlenecks that depend on individual users.
Benefits for users
- Start a drum return immediately, even if all drums are not yet known.
- Add drums and complete returns gradually as information becomes available.
- Save a draft an unlimited number of times.
- Any user can continue processing an incomplete return.
- Less urgency and less manual rework.
- More efficient collaboration between construction sites, warehouses, and transport operations.
This enhancement makes drum returns more flexible and helps ensure that returns can be initiated as soon as information becomes available, even if the final details are added later. As a result, the return process remains efficient and data quality improves throughout the supply chain.