Aperia Technologies, a leading tire inflation and management solutions provider, faced a significant challenge in managing their factory data. The company had to deal with a vast amount of information pouring in from various testing equipment around the world. Without a proper catalog, it was nearly impossible to find the right data when needed. The company also faced difficulties in integrating data from various sources, including on-site and off-site test equipment, and ensuring that this data was accessible and organized efficiently. Another challenge was to make complex data accessible to non-technical team members, including those in quality and manufacturing, without extensive technical skills.

Endy, a leading online mattress brand in Canada, was facing challenges in managing its customer support operations due to its explosive sales growth. The company was using simple spreadsheet-based solutions and manual data fetching and entering, which was no longer feasible with the increasing sales and a growing customer support team. The company needed to speed up the process of pulling off various customer attributes and shipping partner information from distributed data sources to power internal operations such as reporting and return and replacement order fulfillment. The data resided across multiple systems that didn’t natively interact with one another, slowing down the customer support reps in making quick and informed decisions. The company was also facing issues in integrating and getting the customer details in one place from different sources like Shopify, Microsoft SQL Server, and Google Sheets.

Consumer Packaged Goods (CPG) and Fast-Moving Consumer Goods (FMCG) companies heavily rely on mobile apps for their field agents and brokers. These apps are crucial for improving merchandising, taking orders, launching new products, announcing promotions or price changes, and managing inventory. However, the need for custom software is increasing at a rapid pace, with IDC predicting that about 500 million digital apps and services will be created by 2023. This demand is putting pressure on CPG and retail companies to find faster and more efficient ways to develop software. Traditional development methods are often slow and require a high level of dependency on development teams. This situation is further complicated by the need for these apps to be highly personalized and adaptable to different retail models, languages, and SKUs.