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Liatris is a project sponsored by SAS that focuses on the visualization and design of an interface for a multinational food distribution company. The collaborative project aimed to create an efficient platform for the company to help them mitigate food waste in their supply chain and food distribution system.
Project type

UX Design and Research

Timeline

JAN-APR 2023

Project type

Contributed equally across functions, from generating ideas to creating visual representations, ensuring a cohesive approach that led to a successful, user-centric solution.

Approach

Our team kick started this project with research on existing solutions, and distribution systems. From there, we moved ahead to narrowing down to our focal product, and the pain points and opportunities associated with it. We formed a scenario and a task flow, to help our persona deal with the problem identified, followed by finally working on an efficient system and interface to tackle food waste mitigation.  Liatris is our proposed platform within Deca Foods Suite, designed to optimise food distribution. It provides a clear visual representation of the distribution network and utilises sensor data, live tracking, and alert systems to identify and mitigate food waste at critical touch points. Liatris not only aims to minimise food waste but also enhances the overall sustainability and effectiveness of Deca Foods' operations.

Challenge

Our team chose KOMBUCHA, a fermented drink requiring both, specific conditions to survive, as well as strict guidelines mandatory by the government. Its distribution require maintaining specific conditions, like temperature and light, to stop it from fermenting excessively. This posed challenges that were tricky as well as gave us an opportunity to explore the use of IoT sensors, and other technologies to create efficient solutions.

Final Design

Introducing Liatris

An innovative desktop and tablet platform revolutionising logistics and distribution management through the power of artificial intelligence. Designed to empower decision-making process for Luigi, Liatris seamlessly integrates live sensor data, historical insights, and predictive machine learning, enabling swift and informed choices.

At the heart of Liatris is its adaptable AI experience, coupled with a dynamic map and an interactive dashboard that provides a macro-to-micro view. The user interface is enriched with a customisable dock, allowing Luigi to pin essential information for a comprehensive overview. Facilitating seamless collaboration across teams, Liatris ensures efficient distribution processes with real-time updates and instant alerts, empowering Luigi to make timely, well-informed decisions.
Liatris is not just a proactive tool; it is a reactive augment that facilitates on-the-fly decision-making. For instance, when Luigi receives an alert about an expected temperature rise during a journey, he effortlessly adjusts by selecting a quick action suggested by the AI. He then drags and pins critical data to the dock, prioritising live updates and journey-specific information, ensuring he stays ahead of any challenges that may arise. Here's a walkthrough Liatris, through our scenario.

Scenario Walkthrough video

Design Process

Persona

Our main Persona is Luigi, a logistic manager, and we also took in account a supporting persona, Delores, a data scientist.

Scenario

DECA is expanding their delivery area for kombucha and several new clients have recently ordered pallets that need to be delivered from North Carolina to Florida. DECA must adapt to the challenges of multi-hour transit combined with more extreme climates.

Task Flow

Following our primary research, we worked on creating a task flow  to identify potential pain points and opportunities for Luigi. The major pain point for Luigi is uncertain and out-dated data that leads to imprecise decision making as well as deteriorated condition of Kombucha. Kombucha cannot be distributed to a farther place, neither can it withstand adverse conditions nor violent shaking on the way. This gave us opportunity to explore the use of sensors and seamless and live connectivity through out interface.
To formalise our research, we reached out to Tribucha Kombucha in Cary, NC, to get first hand insights about their distribution methods, which enabled us to highlight essential touchpoints Luigi's consideration, and guided the ideation of features necessary for our interface.

Feature set

The next step for us was to ideate our interface and the features that Luigi will need for a smooth functioning. We started off with researching and scribbling down all our ideas and then short-listing the desirable design elements to create wireframes.

Wireframes

The process of developing Liatris' interface was interesting, we added and discarded a lot of "cool" ideas.  Scroll through our wireframe development, where we started from and where we ended up throughout the designing and refining process.

Lo-fi sketch and wireframes

Sketched ideation
Lo-fi: Dashboard
Lo-fi: Order

Mid-fi wireframes

Dashboard
Orders page
Fleet page

Hi-fi wireframes

Dashboard
Dashboard: Pinned information
Dashboard: Map hover state
Orders: Route details
Orders: Route selection
Orders: Zoomed in location view
Orders: Temperature overlay
Fleet

Reflection

What I learnt

One of the biggest challenges I faced during the development of Liatris was balancing the technical integration of IoT sensors and AI with the user experience for logistics managers like Luigi. Ensuring the interface not only provided real-time insights but was also actionable and intuitive required careful consideration of user needs. Additionally, I learned the importance of aligning our solution with Deca Foods' business goals—optimizing supply chain efficiency while maintaining sustainability and minimizing waste. This meant thinking beyond just the user interface and exploring how Liatris could seamlessly integrate into the larger operational ecosystem of Deca Foods.

Adopting a user-first yet systems-oriented approach allowed me to focus on creating a design that would not only address Luigi’s immediate challenges but also provide long-term value for Deca Foods by reducing food waste and improving overall distribution efficiency.

What’s next for this case study

Reflecting on the challenges and feedback from the project, there are areas where Liatris can evolve further to provide even greater value:
  1. Enhancing Data Granularity: Develop features to offer more detailed tracking and reporting, such as specific sensor data for each shipment in real-time to ensure products like kombucha remain within ideal conditions.
  2. Expanding to Broader Use Cases: Investigate how Liatris could be adapted for other temperature-sensitive products and multi-product supply chains, allowing Deca Foods to scale operations effectively.
  3. Addressing Edge Cases: Explore solutions for outlier situations, such as sensor failures or unexpected route delays, to provide fallback options for logistics managers.
  4. User Feedback Integration: Conduct task-based usability testing and feedback sessions with additional users to further refine the interface, focusing on simplifying the dashboard and quick action features.
  5. Building a Mobile Experience: Design and test a mobile app version of Liatris to improve accessibility for on-the-go logistics managers.
  6. Evaluating Environmental Impact: Incorporate sustainability metrics that track the reduction of food waste and carbon footprint, emphasizing Liatris' contribution to Deca Foods’ corporate sustainability goals.

Behind the scenes