From information overload to data-driven decisions: How to put your manufacturing data to work

whitePaper | September 30, 2022

Until 2020, progress towards digital transformation for most manufacturers was slow. But the urgency for manufacturers to make successful digital transformations escalated during the first 8-12 months of the global pandemic. As COVID-19 reshaped consumer buying behaviors, the pace jumped from a crawl to a sprint: According to one study, 85% of organizations accelerated their digital transformation initiatives in 2020.[1] Some industry observers believe we witnessed 6.5 years of digital progress in the last eight months of 2020 alone.[2] The pandemic was largely responsible for worldwide supply chain disruptions that slowed down goods production and delivery. As a result, manufacturers justifiably focused on managing and fixing the supply chain problems first. But as the pandemic continued, it became clear that the supply chain issues were a symptom of something deeper than the short-term disruptions.

whitePaper | July 16, 2020

That experience demands a platform supported by increased connectivity and cloud infrastructure. The industry will require immense computing and processing power for all the information that AVs rely on and will continue to rely on in a future with 5G.

whitePaper | July 31, 2020

Geek+ is one of the world’s fastest growing logistics automation companies. Its technology offering, which is based around a core product range of four smart robotic systems – picking, moving, forklift and sorting robots; all underpinned by a highly intelligent AI-enabled software platform – offers a scalable alternative to traditional fixed automation machinery for eCommerce, industrial and manufacturing customers to invest in. Perhaps one of the most notable features of the Geek+ solution is its extreme scalability – both within a single fulfilment center or across a network of facilities – which can move in lockstep with business needs to meet rapid customer growth, or to meet sudden peaks and troughs caused by seasonal trends or unexpected crises.

whitePaper | September 13, 2022

From big data to analytics and the Internet of Things, digital transformation is disrupting every aspect of the way manufacturers operate. Market leaders who embrace this change will come out on top. Those slow to react – whether they’re industry giants or niche players – will be left behind and may struggle to survive. Winners are harnessing the power of cloud and application technologies to become more agile and operate more efficiently. They’re leveraging emerging technologiesto deliver compelling customer experiences and launch innovative new services, as well as creating new business models to scale, grow, and stay ahead of the pack.

whitePaper | November 17, 2022

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whitePaper | June 7, 2022

Manufacturing organizations benefit from the automation brought by the Third Industrial Revolution, but struggle to extract value from and manage the massive volumes of data created by 20th Century process innovation. The Fourth Industrial Revolution (Industry 4.0) - now present - promises to offer tools to unlock the value of these massive quantities of data with the use of technologies such as Data Analytics, Machine Learning & Industrial IoT. However, manufacturing companies still struggle to convert this data value into business outcomes due to the proliferation of data silos, and the overwhelming prevalence of complex and unwieldy data supply chains which leaves data in an unmanageable state.