Supply chain disruption continues to affect retailers, consumer packaged goods companies (CPGs), and customers. Constraints on the ability to produce goods have limited the availability of in-demand products, leading to inflation. Not only are manufacturers not making enough products in line with demand in industries such as automotive and electronics, at the same time, those products have become much more expensive.
Retail businesses contend with data challenges unique to a fast-paced, high-volume industry.
After 30 years of working in tech across Asia, I’ve seen a lot of ups and downs in these markets. Not long ago, I wrote a blog about what US and European software companies can do to ensure their success when opening for business in the region.
Retail companies can easily visualize and analyze their geospatial data in BigQuery using the CARTO platform.
A modern data infrastructure is essential for retailers looking to stay competitive today. Companies are abandoning more traditional, on-premises IT infrastructures and moving to more centralized “as a service” (XaaS) models of delivery enabled by cloud technologies, according to McKinsey. Aging on-premises infrastructures are unable to meet demands for agility and innovation, eating up too much time and too many resources for teams trying to maintain them.
Arvind Fashions Ltd digital transformation unlocks the value of existing applications, new insights, and build solid workflow through Google Cloud.
The lingering effects of the global pandemic are merging with inflation to create a perfect storm for retailers looking to find the right inventory stature for the seasons ahead. Companies are getting squeezed between rising supply chain costs and falling consumer confidence. To succeed in this volatile market, McKinsey suggests that retailers “accelerate decision-making tenfold.”
