Though the challenges Quench faced were two-fold, Bolt Data knew there was one solution – Bolt Data Connect.

Data Challenge + Solution

To start, Quench struggled to integrate the manufacturer’s data with its asset data.

To overcome this data challenge, Quench began using Bolt Data Connect’s IoT Connectors, Data Lake, and Rules Engine to ingest, process, and create alerts for the data in real-time. Through this process, only data crucial for action was highlighted.

Quench’s primary goal was to get to a point where they could reduce the number of truck rolls and reduce the manual effort needed to replenish consumables at their customers’ locations.

To do this, they implemented a new White Glove approach for some of their water coolers. This service monitors the flavor levels and when they’re low, an alert is sent within Quench’s Salesforce CRM system, automating the process to create a replenishment order, schedule a technician to deliver and install the flavor packs before they run out.

In the past, the customer would send a request to let Quench know their flavors were out. From there, four employees would read the data and manually create work orders.

With its new White Glove approach, Quench is taking a proactive and preventive approach.

And, they’re doing this thanks to Bolt Data Connect, our comprehensive offering that’s integrating Quench’s actionable data from their data lake into Salesforce.

Automation Challenge + Solution

Quench’s work order automation challenge was resolved through the creation of a Clicks Not Code rules-based engine that’s unique to Bolt Data Connect.

This tool doesn’t require a developer to hard code rules. Rather, it allows companies to take advantage of complex calculations and processes through configuration-based work.

Using clicks not code adds a layer of convenience and confidence to companies’ operations.

Here’s how.

When you manually write code, there’s room for human error. Not to mention, companies have to worry about the maintenance of the custom code.

Bolt Data Connect’s clicks not code approach solved this problem by making this level of configuration accessible for everyone, no matter their title or technical abilities.

Now, through a series of drop-downs and calculations, business professionals with a basic knowledge set can create and maintain powerful code without the need for expensive developers.

For Quench, in particular, this helped them filter information and create replenishment work orders while simultaneously ensuring any other open work orders were addressed at the same time to reduce truck rolls.

The most important component of predictive maintenance is building accurate predictive algorithms. The model you build must consider all the variables (i.e. sensor data), how they interact with each other, and how they impact asset performance.