Testing is critical to ensure success in your next supply chain project. Know what to look for to select the best testing software to meet your needs.

  1. Immediate and future use casesTesting Software Considerations
    There are countless automated software options to consider. All too often buyers go all-in on a product that, while robust with lots of bells and whistles, was not created for their intended use case. Narrow your search by honing in on solutions tailored to meet test requirements in a supply chain execution environment. Consider future needs like upgrade testing, load/volume simulations and RF emulation, as well.
  2. Agile development needs
    The growing adoption of agile methodologies in the supply chain industry is driving an increased need to provide efficient, reusable test scripts. Given the costly requirements of resources and time on a project schedule, reusable and documentable testing is critical when employing this development methodology.
  3. User simulation
    Testing software should be able to accurately reproduce the user experience. For example, when looking to accurately reproduce RF load on your system, the tool should account for the Telnet session load as well as the software execution load. This gives an accurate representation of the experience on the floor of the operation.
  4. Scripting language
    Align IT and Operations by seeking testing software that uses plain text scripting language. Building scripts in the language understood by your business allows non-technical users to write and understand scripts easily. When non-technical users are empowered in this way, script building can be integrated earlier in your project alongside business requirements and Standard Operating Procedures (SOPs). Streamlining testing ultimately reduces the cost of script building.
  5. Return on investment (and when to expect it)
    Make sure you understand the ROI your selected testing tool will provide your organization and how soon you can expect to reap those benefits. Key factors to take into account include:

    • future application to modifications, upgrades, etc.
    • time to train and get up to speed on software
    • time and resource investment necessary to create script library
    • reusability of scripts and ease of updating/editing scripts
    • alignment with broader operations