AI-driven warehouse automation: Speeding up design cycle time by 22% with a design concept

Design concept statement

Using our research and analysis as the foundation, we formulated the platform’s vision. It set the direction for our further conceptual work, as well as our client’s design and development efforts in the long run.

We positioned the product as an innovative AI-driven platform that closes the SOP execution gap with real-time alerts and an end-to-end virtual overview of operational processes. Its target audience would comprise 3PL providers, distribution centers, retailers, and manufacturers.

This clear, precise design concept statement helped ensure design consistency and facilitate cross-team collaboration later on.

Value-focused product structure

As is often the case, our client initially struggled to define which features were absolute musts for the product and which could be introduced post-launch. Our insights into the target audience helped make this decision and outline the product’s future core components. Those included:

• Real-time monitoring
• AI vision for CCTV footage
• Performance analytics and operational insights
• Order tracking
• Loss prevention
• Dispute resolution
• Compliance monitoring

Understanding which features would add the highest value to the platform early on was a boon for our client. After all, it enabled the startup to dedicate its limited resources to the features poised to deliver the highest ROI.

Easy-to-grasp insights

Data visualization was going to be paramount for the product’s success, as it became clear early on. After all, the product’s whole purpose was to provide real-time visibility into every facet of warehouse operations, from order-specific data to inventory management.

So, we paid particular attention to the many ways the product could present performance analytics and operational insights. Based on user research and testing, we identified the most appropriate visualization types for each indicator (e.g., bar charts, line charts, pie charts). We also mapped out easy-to-scan-through layouts for critical screens.

Thanks to our focus on simplifying complex data, the platform's analytics features showed the highest engagement rates among early adopters in internal testing, outpacing the second most-used feature, order tracking, by 13 percentage points.

Complex workflows made simple

Change resistance was a common refrain among warehouse operators who struggled to implement a new software solution. Simply put, end users were usually set in their ways, even when their habits made processes less efficient.

On the other hand, a platform as innovative as our client’s would come with a learning curve. It was our job to make it as gentle as possible.

To that end, we devised a series of guidelines for designing the platform’s user flows. Those included accounting for diverse user paths, minimizing the number of required actions, and using clear labels and instructions. These guidelines helped reduce time on task by 17% compared to industry benchmarks and secure a 92% task success rate across the product.

Customizable views and workflows

As our research revealed, potential buyers would pay close attention to the platform's flexibility and customizability when evaluating its fit. So, we defined these two characteristics as key differentiators for the product.

Thanks to our precise guidelines and examples, the client’s team could easily make every workflow highly adaptable, be it the individual order view or the dispute resolution process.

The platform’s customizability and flexibility won over early adopters. In fact, they were among the most frequently cited advantages of using the platform.

Comprehensive documentation

Our design concept was meant to inform every design and development choice our client makes in the long run. So, the documentation we provided had to be detailed and comprehensive to ensure UI/UX consistency down the road.

As per usual, we approached preparing documentation like we’d approach creating a blueprint for the platform. Of course, the documentation went beyond presenting the design concept statement and user personas. It also provided clear guidelines for crafting the platform’s look and feel, from its structure and screen layouts to typography and color scheme.

Having this kind of design bible helped our client speed up design cycles by 22%, as per the team’s feedback.