



A Fortune 500 tech company struggled with an inefficient self-service portal, leading to increased support calls and operational strain. Aligned Automation applied a data-driven analytics strategy to understand user behavior and preferences, leading to significant UI/UX improvements. The portal redesign increased intuitiveness, reduced the learning curve, and included continuous feedback features for ongoing enhancement. This led to a 25% increase in self-help dispatches, improved customer satisfaction, reduced call center strain, and undisclosed cost savings from operational efficiency gains.
This multinational technology company is one of the largest of its kind in the world and is listed on the Fortune 500. It serves a global customer base in 180 countries and has extensive R&D and manufacturing operations worldwide.
The organization’s self-service portal was failing to deliver on its core promise: reducing reliance on customer support.
A poor user experience, combined with limited visibility into how users were interacting with the platform, led to frustration, low adoption, and an increase in support requests.
As a result, customer support teams were overwhelmed with avoidable inquiries, driving up operational costs and reducing overall efficiency.
Aligned Automation implemented a data-driven optimization strategy to transform the self-service experience.
By leveraging advanced analytics to understand how users interacted with the portal, the team identified friction points and redesigned the interface to be more intuitive and user-centric.
The solution also introduced a continuous feedback loop, enabling ongoing improvements based on real-time user behavior and insights.
Key capabilities included:
The portal evolved from a friction-heavy interface into an intuitive, self-sustaining digital experience.
Users can now resolve issues more independently, reducing reliance on support teams, while the organization benefits from improved efficiency and a continuously improving user experience.

