P&G outlines Supply Chain 3.0, next digital transformation moves
Procter & Gamble's two-year restructuring includes a heavy dose of digital transformation, artificial intelligence and supply chain automation and optimization.
Matrix Commerce analyzes the disruptive pressures influencing the commerce paradigm. Commerce faces rapidly changing business models and new payment options that are often misunderstood and poorly integrated.
Matrix commerce (TM) means the fusing of demand signals and supply chains in an increasingly complex world where buyers seek frictionless buying experiences. Friction in this new world originates from new regulatory requirements such as sustainability, taxation, and privacy.
As commerce continues to evolve around buyer preferences, channels, demand signals, supply chains, payment options, enablers, and big data will converge to create Matrix Commerce. Matrix Commerce spans across disciplines as people, process, and technologies continue to transform today's commerce models.
Procter & Gamble's two-year restructuring includes a heavy dose of digital transformation, artificial intelligence and supply chain automation and optimization.
Salesforce delivered better than expected first quarter results and upped its outlook for the second quarter. The company said it saw strength in Data Cloud and AI annual recurring revenue.
Google's future vision is to create leverage its data, properties and services to create a universal AI assistant that will be agentic, understand your personal context and carry out tasks.
Can data, AI and agility enable merchants to navigate economic volatility and scattershot tariff policies? Shopify is betting on it.
Amazon Web Services delivered revenue of $29.3 billion, up 17% from a year ago. Parent Amazon reported better-than-expected first quarter results.
PayPal has big plans for transform from a payments company to a commerce platform that can carry out buying decisions. But first, the company is going to have to retire tech debt from acquisitions and a siloed data architecture.
In the Artificial Intelligence world, there's Ray's Law. AI capabilities double every 7 months. At this seven month doubling rate, in two years, this will be a 1500% increase. In six years, AI intelligence capability will be 10,0000%.