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Progressing our product using our office robots

In 2018, we’ve had two new additions to the Panintelligence team. However, neither of them were recruits; they were robots that the more technical members of our team had built.

One is a robot that’s capable of playing a game of air hockey against you, while the second that’s more closely related to our product, is a robotic arm that can write anything it’s programmed to on a board.

It’s hooked up to our Support Team’s dashboard, where they track their support tickets – how many are open and closed, for example. When a new support ticket is raised, it is automatically put into the dashboard. This fires a web services call to the robot, which writes the current number of open support queries on a board.

Aiding the development of our product

While writing the number of open support tickets on a board has its merits, we can of course display this figure on the dashboard itself, which is currently displayed on a large monitor above the Support Team’s desk.

So, what’s the real purpose behind this?

Well, we service businesses in a wide variety of sectors, including manufacturing. As the sector advances alongside the internet of things, AI and automation become ever more commonplace.

According to The Manufacturer, the UK is currently 22nd on the list of most automated countries worldwide. However, the number of robots in the country’s industries is ever increasing.

The problem with automation

We recently forged a relationship with an automotive company. They had run into an issue whereby, a robot that was responsible for creating a piece of bodywork would – very occasionally – create that piece incorrectly.

Although this happened only a small percentage of the time, it still accounted for millions of pounds of losses.

Data-driven insights to save companies money

We took all the data that the machine had recorded and fed it into Pi Analytics – our predictive analytics product. We identified that when the oil temperature in the machine went above a certain level, it was more prone to creating incorrect parts.

Armed with this information, Pi Analytics can predict when the temperature of the oil is likely to rise, and prescribe that staff perform checks at these times.

What does this mean for our robot?

Pi Analytics successfully identified a key issue with the machinery, and could prescribe alterations to be made. However, the process would involve a technician having to manually alter the machine’s settings.

As a later phase of development, true automation could be achieved if, like our drawing robot, a business’s staff members could input changes into the dashboard and fire these settings across to the machine, which would then update itself with these new settings automatically.

Our Support Ticket robot may be a small start, but it represents something much bigger in the grand scheme of Panintelligence Analytics.

Written by Matt

Matt is Panintelligence’s Digital Marketing Executive, who’s responsible for the SEO and content strategy of the company website. He previously spent four years working at a leading digital agency in Leeds. When Matt’s not optimising the Panintelligence website, he can be found playing video games, managing his YouTube channel, or out on a walk with a guaranteed pub stop.