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How Scout helped Worldnet International Rationalize their Application Portfolio and Increase Tech Adoption

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The Customer

Worldnet, a leading logistics company, operates in over 200 countries, ensuring seamless logistics for high-value shipments worldwide. They manage shipments for high-profile celebrities at some of the world’s most glamorous events, including the Oscars, Golden Globes, and the MET Gala. Worldnet utilizes cutting-edge technology, including AI and RPA for real-time tracking for their logistics.

Industry

Logistics

Location

Global

250+

Employees

200

Countries

250+

Employees

200

Countries

The Challenge

Worldnet developed an in-house transport management system to manage their shipments, but it wasn’t utilized as expected. This led to several challenges, including:
Difficulty in identifying how users interacted with the system and the reasons behind its underutilization
Challenges in pinpointing the specific factors contributing to the system’s underperformance
Reliance on feedback from frontline staff that proved insufficient for gaining accurate insights
The necessity to seek external expertise to uncover and address the underlying issues effectively

Enter

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Scout was onboarded to gather interaction data and provide insightful visualizations. Within weeks, Scout identified unknown interactions, revealing the “dark side of the moon” of their operations. This discovery led to actionable recommendations such as redesigning the user interface to enhance intuitiveness and functionality.

Within

4 weeks

Scout identified unknown interactions

Scout’s AI to “find and fix”

Step 1: Find

Scout AI discovered that the user interface was not intuitive, was overly complex and lacked key functionalities available in other applications.

It also revealed that Worldnet was using 370 different applications – more than the number of staff that existed in their organization.

Harvard Business Review

Do You Know How Your Teams Get Work Done?

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Step 2: Fix

By implementing Scout’s insights, Worldnet was able to:
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Redesign the transport management system’s user interface, simplifying complex elements and adding key functionalities

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Develop a structured governance model to incorporate interaction data into existing strategic frameworks, facilitating better execution of recommendations

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Create a dedicated AI strategy under their business transformation strategy, driving significant efficiencies

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Manage their application portfolio by identifying opportunities to consolidate or retire applications

It is important to note that in all of these recommendations, privacy was of the utmost importance – and no employee data was shared. Empathy was at the core of all recommendations and the focus was on addressing and improving the core issues i.e.

  • Getting teams to work together across functions
  • Fixing disconnected systems
  • Simplifying and optimizing work processes
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Business outcomes

In summary, Scout was able to drive the following business outcomes

16%

increase in the utilization of their transport management system

2%

reduction in their Application Portfolio Management (APM) footprint

AI connects interaction data to business outcomes

Scout lights up the ‘dark side of the moon’.

Your business generates billions of data points from team-machine interactions. Scout, our AI model, deciphers this interaction data to reveal what often remains unseen—the hidden challenges your teams face at work and how they affect business outcomes, whether it's cost optimization, revenue growth, customer or employee experience, or business continuity.

The AI then provides data-based recommendations to address these challenges, paving the way for improved outcomes.
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Forbes

The 'Dark Side Of The Moon' In Enterprises

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See Scout in action.
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