Transform the supply chain with unified data management

Couldn't attend Transform 2022? Check out all the summit sessions in our on-demand library now! Look here.

Many organizations lack the technology and architecture to automate decision-making and create intelligent responses across the supply chain, as supply chain disruptions have shown. supply in recent years. However, these critical outages can no longer be blamed solely on the COVID-19 pandemic. Rather, they can be blamed on companies' slow adoption of automated supply chain decision-making, which has led to inventory backlogs, price inflation, shortages and more. The pursuit of unique sourcing in a region rather than leveraging distributed regional capabilities also contributes to backlogs. These factors have added to the complexity of the systems and the inconvenience of lack of automation and the pandemic has highlighted these existing critical failures.

That brings us to today and how this inability to effectively manage data flows is proving debilitating for many businesses. In a Gartner study of more than 400 organizations, 84% of supply chain managers said they could serve their customers better with data-driven insights. An equal number of respondents said they needed more accurate data to predict future conditions and make better decisions.

The challenge here is that companies manage their supply chains with a series of disparate and disconnected tools and datasets. Instead of residing in a centralized location, critical information can be dispersed across the supply chain, kept in functional silos, and tied to individual technology solutions and operations teams, limiting transparency and accountability. optimization.

Ultimately, this impacts the overall results of supply chain digitization. Human analysts, as well as advanced technology engines, can struggle to access relevant, up-to-date, and reliable data. Data can be separated between functions, resulting in a lack of end-to-end transparency. Lags can have a significant impact on an organization's ability to immediately detect and respond to disruptions or new information.

Event

MetaBeat 2022

MetaBeat will bring together thought leaders to advise on how metaverse technology will transform the way all industries communicate and do business on October 4 in San Francisco, CA.

register here End-to-end connectivity throughout the supply chain

The supply and demand disruptions in 2020 and 2021 have clearly demonstrated the need for digital transformation as well as end-to-end visibility and orchestration. And the availability of new digital capabilities such as artificial intelligence (AI), machine learning (ML), data science and advanced analytics has simply been a game-changer for connecting global supply chains. To keep pace with increases in demand from manufacturers and retailers, supply chains must evolve into real-time adaptive ecosystems.

Whenever an exception or disruptive event occurs anywhere in the ecosystem, it can be autonomously recognized and addressed in a synchronized and collaborative manner. Regardless of the geographic distribution of the value network and the number of suppliers it comprises, today even the most complex global supply chain can be digitally connected through intelligent solutions in near real time.

Advanced technology that enables near real-time monitoring and communication depends on data for its success. Throughout the value chain, each supplier digitally provides information on costs, lead times, inventory levels, availability and other key metrics, giving key partners the ability to obtain and deliver real-time feedback, thus obtaining key information on the evolution of the request.

But that...