BFCM 2024, just like years ago, online stores hit the same wall: chat boxes on fire, with thousands of shoppers typing in at once. “Does this ship in time?” “Which size should I get?”. Support teams were overwhelmed, queues were stretched, and shoppers grew impatient. The result? It can be abandoned carts and lost sales.
But 2025 feels like a turning point.
With the rise of AI agents, stores finally have backup that scales. These agents step in where humans reach their limits, handling endless conversations instantly, even facilitating sales. This shift isn’t imagined; the proof is evident in both the statistics and the storefronts.
The AI agents: The numbers behind the shift
AI agents have quickly moved from buzzword to one of the fastest-growing categories in tech. And the numbers speak louder than the hype.
According to Grand View Research, the global AI agents market was valued at $5.40 billion in 2024 and is projected to soar to $50.31 billion by 2030, expanding at a 45.8% CAGR. A separate forecast from KBV Research is even more bullish, estimating the market will reach $62.18 billion by 2031, growing at 43.8% CAGR. Whether you take the cautious or the optimistic view, the direction is the same: exponential growth.
Zooming in on enterprises, Grand View Research valued the Enterprise Agentic AI market at $2.58 billion in 2024, with projections to climb to $24.50 billion by 2030 at 46.2% CAGR. Markets & Markets offers a similar view, forecasting growth from $6.76 billion in 2025 to $46.04 billion by 2030, at nearly 47% CAGR.
Across every forecast, we see the same message: AI agents are no longer side projects. They’re scaling into a multi-billion-dollar industry that will shape the next decade of AI.
And the momentum shows up most vividly in commerce
At the enterprise level, ScaleUpAlly shows that nearly 70% of Fortune 500 companies have already tested or deployed agentic AI. When the world’s largest enterprises move this quickly, it sets the tone for the rest of the market.
Retail is following the same path. According to NVIDIA’s State of AI in Retail & CPG, 42% of retailers are already using AI, and another 34% are piloting or evaluating it. Among the biggest players, adoption rises to 64%. This is proof that AI is fast becoming an industry standard.
E-commerce is even more aggressive. EComposer reports that 84% of online businesses are integrating AI or planning to, with virtual agents often the very first step. When product catalogs grow huge and customer chats spike, agents become the obvious solution.
And crucially, it works. DemandSage finds that 90% of businesses using AI agents say their workflows run smoother and more efficiently.
With results already visible in smoother workflows and faster growth, we can confirm that AI agents are fast becoming the next chapter for businesses.
What about customers?
Interestingly, AI agents aren’t just the next chapter for businesses; customers are already expecting them. Why do we say that?
- 73% of shoppers believe AI can make their buying journey smoother.
- And when they experience it firsthand, the reaction is clear: 80% report being satisfied with their AI interactions.
That satisfaction comes from two main factors:
- Quality of response: Today’s AI agents can already resolve up to 80% of routine queries without human intervention, according to BigSur
- Speed of response: 42% of customers say AI solves issues faster than humans, and 63% of shoppers are more likely to buy when instant live chat is available.
When both quality and speed come together, the impact is lasting: 60% of customers say they are more likely to return after a good AI-powered chat experience.
Beyond the data: Brands proving the AI agent’s impact
1. Decathlon
Picture a shopper browsing Decathlon’s massive catalog. They want to know if a wetsuit fits their height, whether a tent can survive alpine winds, or which sleeping bag holds up at –10°C. The questions never stop, and the human team simply can’t keep pace. Carts stall. Sales slip.
So Decathlon made a change. They put Chatty, their AI agent, in charge – trained on more than 10,000 SKUs. Suddenly, every shopper had a 24/7 gear expert. Questions were answered instantly, bundles suggested at the right moment, and only the toughest queries went to humans.
The payoff? In just seven days: 2000+ conversations handled, a 98.47% resolution rate, and €10.000 in new revenue.
2. Happy Hair Brush
Now jump to Australia. Happy Hair Brush was riding a growth wave, but it came with a headache: the same questions, over and over. “Will this work on curly hair?” “How’s it different from the detangler?” A small team was drowning in déjà vu.
Their move? Put their AI agent on the frontline. From day one, shoppers got instant answers, delivered with confidence and consistency. The result: fewer delays, more sales, and a team that could finally catch its breath.
The numbers tell the story: 95.83% of chats touched by AI, 80.43% of queries resolved, nearly eight hours saved every day, and $900 in extra revenue in just a month. Growth didn’t slow; it accelerated.
3. Yoeleo Bikes
And then there’s Yoeleo. Precision is everything when you sell high-performance bike parts. One wrong compatibility answer, and a sale is gone, along with customer trust.
To close that gap, Yoeleo trained its AI agent on every spec sheet and compatibility chart. (Interestingly, they use Chatty too, just like the two brands above.) The result? The AI turned into a true technical specialist, serving precise answers in seconds. Customers gained confidence, and the team won back valuable time.
Thirty days in, the results were hard to ignore: 90.38% of technical queries solved by AI, 98.94% resolution rate, 19+ staff hours saved daily, and $3,496.5 in AI-assisted revenue.
AI agents are becoming e-commerce’s sales competitive
Decathlon boosted sales in a single week, Happy Hair Brush turned casual chats into conversions, and Yoeleo Bikes built customer trust with instant answers. The takeaway? AI agents help stores seize every sales opportunity.
The numbers support this as well:
- AI automation typically lifts conversion rates by 25%, bumps average order value by 5–12%, and resolves up to half of support tickets through self-service.
- SellersCommerce found that 93% of e-commerce businesses view AI agents as a competitive advantage, with 10–30% of revenue already driven by product recommendations – an area where AI excels.
So, what now?
Join the AI agent revolution, for sure! 2025 belongs to AI agents, and beyond, too. And with BFCM coming fast, the stakes couldn’t be higher. Customers won’t wait. And your competitors won’t pause. Here’s how to start:
- Map your journey: Where are customers hesitating? Where do chats break down?
- Spot repeat questions:These are the easiest wins for AI agents.
- Feed your catalog: The richer the training, the stronger the agent.
- Integrate live chat: Shoppers expect it, don’t leave them hanging.
- Measure and adapt: Track conversions, resolution rates, and saved time.
And if you want a shortcut? Platforms like Chatty are already built for this, ready to train on your catalog, answer customers instantly, and scale your support team overnight.
Instead of spending weeks configuring prompts and workflows, you can plug in, feed your data, and let the agent learn your products, tone, and FAQs in hours, not months. Within days, it can start handling 80% of repetitive queries, freeing your team to focus on what truly drives growth: personalization, conversion, and loyalty.
That is how brands like Decathlon, Happy Hair Brush, and Yoeleo Bikes turned support into sales, and it is how you can too.
See how Chatty helps you launch your first AI agent faster, smarter, and ready for BFCM.