Artificial Intelligence Will Be a Catalyst for M&A in the Retail Sector

By Dan Wagner, Chairman and CEO of Rezolve AI

Buzzwords of the decade: Generative Artificial Intelligence (GAI).

Much more than a passing fad, GAI was largely introduced to the mainstream by OpenAI’s “ChatGPT,” and has already been adopted by companies across nearly every industry, from pharmaceutical development to the practice of law. Integration rates are only continuing to climb–a signal to investors that value is still present in startups developing the next, most revolutionary solution. We’re sure to see GAI mergers and acquisitions (M&A) activity sustain unprecedented attention, but what could this mean for commerce and retail, specifically?

From an operational standpoint, GAI has already proven to be a game changer in the dealmaking process itself–from helping buy-side organizations scout prospective targets to streamlining cumbersome due-diligence processes for all parties. But now, GAI is the ideal target for major mergers and acquisitions (M&A), especially within the retail and ecommerce sector.

Let’s take a look at why GAI has the ability to revolutionize commerce on a global scale.

First–emerging AI solutions can predict supply chain disruptions, optimize inventory levels, and improve forecasting. Modern supply chains generate enormous amounts of data from sources like suppliers, logistics providers, warehouses, and retailers. AI can process and analyze this data quicker, and more accurately, than traditional methods, and retailers that tap AI to refine their supply chains may not only achieve operational efficiencies, but could also gain a competitive advantage in the market.

Leveraging GAI can also lead to other cost-saving efficiencies. AI-driven automation in areas like chatbots, inventory management, and billing might seem like small improvements, but will surely drive ROI in the long run. Efficient companies with lean operations often become attractive targets for larger companies looking to adopt and implement these efficiencies at scale. It’s likely that these types of back-room operations will be the first domino propelling GAI M&A activity in the sector.

But to many dominant retail players, enhancing the consumer experience is paramount to retaining a loyal customer base, and it seems like GAI was built to redefine how customers can engage with their favorite marketplaces. GAI can be used in virtual trial rooms, as AI-driven virtual shopping assistants, and even in predicting fashion trends. Companies mastering these domains might become acquisition targets for bigger players wanting to expand or dominate positive consumer sentiment with the latest in accessibility.

Virtual shopping assistants, for example, will touch every corner of commerce. Far gone are the days where customers need to interact with retail platforms via category dropdown menus. This GAI inflection point will see average consumers communicating with their personal devices as if they were at a boutique in SoHo. GAI has the ability to intelligently comb through product catalogs and surface the most relevant items in response to unique consumer prompts.

And these assistants are not limited to fashion, home goods or general stores–we’re seeing a revolution in industries like real estate and travel, where GAI assistants can better identify potential properties that might appeal to individual buyers or flights and hotel packages that fit within a travel budget and timeline. Personal GAI assistants are touching everything now, and the companies that build these tools are primed for increased investor attention.

It’s safe to say GAI is not going away. We’ll likely see new regulations in the years to come–and this should be welcomed. While growth potential for the companies investing and adopting these tools is limitless, we need to ensure data and security standards continue to be met and improved upon.

The companies that embrace these tools early and successfully while regulation is deliberated will take a huge portion of their respective markets, and investors better be paying attention.

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