Retailers operate in a competitive and dynamic environment, facing challenges from price sensitivity to complex logistics. To thrive, they must adopt innovative solutions that streamline operations and enhance customer satisfaction. This article explores how AI agents — autonomous systems that observe, reason, and act — are redefining retail and positioning the industry for its next level of competitiveness.
For two decades, Master Data Management (MDM) gave organizations a single source of truth for customers, products, and suppliers so analytics and operations could run on clean, governed data.
When a leading global commodity trading company sought to accelerate its AI transformation, it turned to Artefact to turn potential into measurable performance. The goal was to make generative AI a daily productivity tool across departments while ensuring robust governance, compliance, and lasting cultural change.
Every decade or so, the way companies organize themselves quietly changes – not through grand announcements, but through a series of accumulated decisions that suddenly reveal a new pattern. We saw it with digital transformation in the 2000s, when data and connectivity became the fabric of the modern enterprise. Then came the agile revolution, which redefined how teams collaborate, iterate, and deliver value. Each shift didn’t just alter tools or processes—it changed what we believed possible about work itself.
At Artefact, we have designed a proven methodology to help corporations move from exploration to sustainable impact. This article explains the journey, the challenges, and the pragmatic steps to success.
How can organizations move from experimentation to true scale with generative and agentic AI? Over the past two years, many companies have launched promising pilots only to hit a wall when trying to operationalize them. The difficulty isn’t accessing technology anymore. Today, the challenge lies in scaling AI responsibly and effectively across the organization. To do that, companies must look beyond individual use cases and focus instead on holistic transformation. There are four critical dimensions that determine success: Processes, People, Platform, and Position: the 4Ps of Agentics.
Many industries sell into highly fragmented ecosystems composed of thousands of small, independent outlets spread across cities and regions - whether it is a global beverage company supplying high-end F&B venues or a local bank selling EDC terminals to micro-SMEs in an emerging market.
Originally coined by Philadelphia police in the 1950s to describe chaotic post-Thanksgiving crowds, “Black Friday” later gained a positive spin as the day stores turned “in the black” financially. Today, it marks the start of the holiday shopping season, both in stores and online.
In our previous articles, we challenged conventional ROI models for AI and introduced a multi-layered, context-driven framework for measuring AI’s unique value.
