Deloitte: UX Strategy and Design

The challenge

How might a network of signals empower logistics at Walmart?

About the Project

Deloitte is a global professional services company with offices in over 150 countries. They wanted to empower Walmart with a leading edge solution that encompassed all aspects of logistics, from event processing to business workflows and process automation.

Multiple contexts

Companies maintain physical and digital assets (e.g. warehouses, machines, databases) that send, receive, and store information throughout an enterprise. The Asset Intelligence application was designed to consolidate all of those data sources into a single, nimble, and flexible user interface.

Because a user’s background varied widely – from frontline operator through c-suite executive – the application’s functionality had to conform to multiple scenarios. The depth and breadth of functionality crossed contexts of use. For example, a machine operator may want to know specific details about a single machine, whereas an executive may want to understand performance across an entire category of global machine assets.

Flowchart of how asset views are built and displayed, where business rule could then be applied.

A day-in-the-life example, where user has set up workspaces that represent operations and warehouse facilities

A detail screen of an expanded view, where the signal could be recast into multiple visualizations (e.g. charts or custom representations)

Global, enterprise-wide use

Countless IOT devices

Standardized asset signals

Near real-time displays

Resolution over collection

The application’s analytic capabilities enabled users to spend less time gathering data and more time resolving asset-related challenges. Navigation of assets was simple, intuitive, and standardized. As data would be stored across various locations throughout an enterprise, the application had to consolidate multiple data sources in single views (i.e. screens) to improve accessibility and use of data. Some elements were displayed in near real-time, such as an asset’s operating condition (e.g. temperature, performance, wear).

"...spend less time gathering data and more time resolving asset-related challenges."

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