Ace tracked which products retailers ordered, when they were ordered and shipped. However, the company could not track or forecast actual sales. Data used for reporting was up to a one-week old, owing to performance and data cleansing issues. Requirement to integrate wholesale and inventory data with POS data to help drive key business decisions, improve category management, lower inventory costs and optimize pricing. Reliance on custom coding to integrate POS data was excessively resource intensive and led to major performance constraints.

As TransCanada's GE turbines were nearing end of life at their Ravenswood and Alberta locations, they required cleaner, more viable solutions to meet the growing power demands of their constituency, with the Ravenswood location serving over 20% of New York City.

iRobot, a global consumer robot company, faced a significant challenge in 2015. The company had sold 14,000 of its Roomba robotic vacuums on the first Amazon Prime Day, highlighting its reputation for innovation and value. However, this success also underscored a looming challenge. In September, iRobot was set to release its first internet-connected Roomba vacuums. Until then, iRobot had primarily operated as a hardware vendor. The introduction of connected Roomba vacuums meant that large numbers of people would be using the iRobot HOME App to set up and control their robots. This would result in high volumes of traffic through the app, requiring iRobot to run a high-availability, customer-facing cloud application and an Internet of Things (IoT) backend platform. This was a significant shift from their traditional business model and posed a considerable risk.

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