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Where are robotic technologies headed? Here are 3 trends.

Updated: Oct 3, 2022

We’ve seen several significant shifts in the world. From the global pandemic that transformed the way we work and live today, to the socio-political uncertainties that have impacted global supply chains and kept manufacturers and businesses on their toes.

Robotic technologies, which are critical for the majority of the manufacturing industry, will shape how the landscape evolves and responds to these global events.

Here are the 3 trends we see in robotic technologies today.

#1 Collaborative Robotics AKA Cobots

Designed to work alongside their human counterparts, cobots offer companies an easier transition when implementing robotic solutions. Rather than doing a complete overhaul of existing job scopes, cobots assist in repetitive or physically demanding tasks, helping employees complete the same task faster, and better.

Check out some of the cobot brands we carry here.

#2 The power of RPA

According to a McKinsey study on financial institutions, robotic process automation (RPA) technologies alone were able to reduce 80% of process costs, and reduce sales conversions by 50%. Automation technologies have helped companies bridge the digital gap, showing them just how much more they could accomplish by automating repetitive tasks. In this hyper-connected world we live in, even B2B companies need to start thinking about how they can provide personalised services and experiences to their clients. It’s exciting to see how RPA will change services in the manufacturing space!

#3 Using AI to complement tech

Going digital means data, and more data means we have the opportunity to analyse and improve systems! One of the most interesting applications of big data would have to be artificial intelligence, and even machine learning technologies.

Think about RPA, combined with the predictive capabilities that AI can provide. Not only can you now automate repetitive tasks, you can also use prediction tools to offer personalised recommendations or track production anomalies, ultimately reducing risk and increasing cost efficiency at the factory.

Data is king. And companies that can pair AI with their existing systems will gain an edge over their competition and stay resilient in the long run.

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