Domopalooza 2024 - how customers are using Domo dashboards, Bricks and AI

Alyx MacQueen Profile picture for user alex_lee April 3, 2024
Customer examples at Domo were plentiful - these are some of the highlights from the restaurant industry and construction that show how Domo Bricks and dashboards surface must-have insights for decision making and observability.

Domopalooza 2024 © Domo
( © Domo)

Amid the keynotes and product launches at Domopalooza this year, I was keen to find out how customers are using Domo. Thankfully, there was no shortage of people willing to talk about their experience from the food service industry, retail and health and safety - and how Domo provides them with much more than dashboards.

WKS Restaurants - the group behind Denny's, Krispy Kreme and Wendy's, uses Domo for an eagle-eyed view of its restaurants (almost literally). Trevor Fitzgerald, Vice President of Information and Technology, showed how Domo is being used to create dashboards, along with Domo Bricks - pre-built objects that allow users to visualize data in new ways with the aim of acting more quickly on custom business insights. Bricks can be configured and tailored by front-end developers to match branded styles, and are being used by WKS to deliver insights across around 370 stores, on the move.

One example gave a snapshot view of an individual restaurant - from who was at the helm, right down to embedded Google Maps with Street View and satellite view Bricks - to see the neighborhood dynamics and get an idea of the economic landscape. Fitzgerald explained: 

For example, you might zoom in and realise, ’Oh, there's a huge office building next to this with an empty parking lot. That might explain the lull in the post lunch rush’. We have a Yelp brick which, instead of a boring table, uses the Domo AI service layer to summarize all of those reviews and even help general managers get started interacting in response.

Turning to the topic of staff training and development, Fitzgerald demonstrated how Domo provides insights from WKS's custom Learning Management platform, which uses texting to communicate with its 10,000+ employees to let them know what training they need to undertake.

What the company didn't realize at first was that many employees were responding to the text messages with questions about training, benefits or their role in general. After pulling all of the texts into Domo, there was still the question of the context of what had been sent before the replies started coming in. Fitzgerald highlighted the solution - but not for the reason you might expect:

We built this Brick, which shows all of the conversations and texts with that employee and the automated messages that they receive. What I really want to highlight about this Brick is not that it looks amazing or anything, but that it was built, not by a software developer, but by Domo and ChatGPT with one prompt and just two follow up questions.

Moving onto how payments had changed over time, WKS along with many other restaurant groups receive a large amount of payments made by card - which is easy and efficient for staff and customers...until the internet goes down! So avoiding that sort of outage is critical. 

Fitzgerald elaborated on how the 700 internet circuits across restaurants are managed with the bandwidth dashboard:

Every conversation we have about the internet starts here. We have a brick showing the location - for example, at a gas station. We might see that it's a rural area and that helps us to know it's going to be expensive to bury wires. These Bricks show who manages the internet at this location and any quotes we received from other carriers. We also have options to be able to upgrade costs.

We borrow traditional cards from our speed test dashboard that shows live-speed data for the internet at those locations. And Domo will alert us when those speeds are not what the carriers have promised. We're able to then send out service technicians or sometimes ask for fee reductions.

Finally, Fitzgerald demonstrated a brick that pulls in all of the Zendesk ticket data from the IT department, showing only internet-related tickets. He explained that this is crucial because every time there's an internet issue, the average cost to the business whether in sales or just tech visits is about $1,000:

So seeing all of those issues together helps us understand the patterns for that location and justify any upgrade decisions. Ultimately, all this information really just helps us cover more ground faster, ultimately leading to more stable internet - a must have for a modern restaurant.

Domo and telematics - keeping employees safe

During the event I talked with Manoj Perumal, Co-founder and COO at Mojo AI, about some of the ways Domo has helped to enhance construction project management through technology, with a focus on data collection and analysis, process streamlining, and project management.

Perumal emphasized the importance of taking a pro-active approach to health and safety in the workplace, involving employees in the process, and providing them with necessary resources and support. The main focus is to ensure that everyone goes home safely once the job is done. 

He explained that the industry in general has been doing health and safety in the same way for a long time - often with pen, paper and checklists. However, the microphone has been a major tool in helping to collect good data and track telematics. With simple workflows and processes, preventative action can be taken by sub-contractors when they start work. Rather than someone having to open up an app or a checklist before using a crane high up on a building, for example, they can just talk into their microphone which will then guide them through procedures without them having to work through a manual list or remember each step of the workflow. 

If any risks are identified, these will be flagged to both the contractor and the project manager to assign corrective action. Perumal noted that another one of the major differences was also being able to see annotated images when gathering pictures of surroundings to check for potential risks. A contractor may take a photo of a particular issue identified - with the help of AI, it will help to identify ones that they hadn't necessarily spotted. I pressed on why Domo made the difference here. Perumal said: 

We're able to help a lot of people with Domo. The data that we pull, the information that we process - Domo has made it possible to get data as quickly as possible from multiple sources of information that we can then share with people in a way that helps to reduce risk and change their behaviors based around the tasks that they do.

Those tasks can change from one day to the next. But the alerts that we're able to processes information quickly and send it through based on the tasks that they are doing that day. They know from the morning they get onsite, Domo comes into play by bringing together the tasks that they have to do at a particular time that will keep them safe.

Mojo AI has been able to implement dashboards used by teams all over the country to reduce the likelihood of somebody getting hurt that week proactively, rather than being in a situation of having to review what went wrong. 

My take

There were reams of customer use cases on display - these were just two. There's more to reflect on about the difference Domo is making to enable training, guidance and change across different industries and it's roadmap for the future. More to come. 

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