As shopping trends accelerate and customer expectations continue to rise, retailers are turning to AI and automation to improve forecasting, streamline fulfilment and build more resilient operations. David Bailey, Consumer Products Director at Arvato UK, explores how technology and human expertise can help businesses respond faster to demand changes while protecting the customer experience.
In the TikTok age, product trends can explode in a single day. TikTok Shop has already become the UK’s fourth-largest beauty retailer and the platform influences more than 70% of Gen Z beauty purchases. That discovery-first model is rewiring how products take off, with a single moment of traction turning an item into a ‘must-have’ in hours. For brands and retailers, the problem isn’t simply having enough stock on hand. It’s spotting momentum earlier, reacting faster and protecting the customer experience when the pressure spikes.
This is where the gaps in traditional commerce operations start to show. Too many businesses still manage inventory, fulfilment, customer service and returns across disconnected systems, which slows decision-making exactly when speed matters most. If stock is in the wrong place, picking capacity gets stretched or returns back up, customers notice immediately. In modern commerce, those frictions stop being internal inefficiencies; they turn into lost sales and damaged loyalty, fast.
That’s why AI and automation are becoming essential in helping organisations absorb volatility with more intelligence and control.
How AI is helping brands stay ahead of demand
The brands that remain competitive will be the ones that can predict demand sooner and act fast before demand spikes.
AI is playing a bigger role in doing exactly this, improving forecasting and supporting faster decisions about where stock should sit. That matters in categories such as beauty and fashion, where trends can travel quickly across TikTok, Instagram and creator-led channels and where the difference between selling through and overstocking can be measured in days or hours.
The practical benefit is control to avoid the sort of stock imbalance that leads to missed sales or disappointing delivery promises. That is especially important for businesses trying to balance speed with a seamless customer journey. The consumer does not care that the issue was caused by fragmented systems or poor forecasting. They care whether the item is available, whether it arrives on time and whether the experience feels reliable.
Streamlining fulfilment and returns
Automation and robotics are also playing a growing role in fulfilment and returns. As order volumes increase, businesses need systems that can process items quickly and accurately without introducing errors. Robotics can help speed up repetitive tasks such as sorting, scanning and moving goods through the warehouse, ensuring operations that can adapt at pace without compromising service.
Returns are another point where automation can make a big difference, because it’s the point in the cycle where product condition, packaging and customer behaviour vary the most. Robotics, Radio-frequency identification (RFID) and machine vision can triage items at speed, identifying barcodes, matching SKUs, checking condition and separating ‘clean’ returns from genuine exceptions. That reduces rework, cuts queues at goods-in, and helps operations stay predictable even when return volumes spike. The result is faster turnaround to resale, tighter inventory accuracy and less time and labour lost to manual scanning, sorting and repeated handling.
We’ve seen this in practice with a major fashion client. By introducing RFID, we were able to identify around 10–20 suspected counterfeits per week and remove the need for manual searches across 12,000–14,000 returns.
But this isn’t only about speeding up processes behind the scenes. Logistics has moved out of the back office and become a defining part of how customers experience and perceive brands.
How logistics shapes customer experiences
Consumers do not separate the website from the warehouse or the checkout from the delivery network. They simply experience the result. If the item arrives on time and as expected, the brand feels dependable. If something goes wrong, the weaknesses in the operating model become visible very quickly. Retailers that understand this are no longer treating supply chain performance as a purely operational issue. They are treating it as a direct driver of trust and loyalty.
This also applies to personalisation as customers expect recommendations, availability and delivery options to feel tailored to them. But that only works if the operational model behind the scenes is connected enough to support it. That puts new pressure on the supply chain. Personalisation in commerce is not just a front-end marketing capability. It depends on accurate data, responsive inventory and fulfilment systems that can deliver on the promise. Without that, the customer journey becomes fragmented very quickly.
AI can help businesses understand why items are being returned, spot recurring issues in product fit, quality or descriptions and route returns more efficiently. Over time, that insight can improve both the customer experience and the underlying product or operational model. In other words, returns are a cost to manage, as well as a source of information that can improve the wider commerce model.
Keeping pace with modern shopping
The retailers that stay ahead of trends will be the ones that treat AI, automation and human expertise as one joined-up system. Technology is best at sensing change early, crunching data at scale and keeping repetitive processes moving consistently. But people are still the ones who need to make judgment calls, resolve true exceptions and protect the customer relationship. In a market defined by volatility, this combination is what maintains performance.
For retail leaders, success will depend on how quickly you can detect demand swings, how tightly you can connect planning and execution and how well you can keep promises to customers when volumes spike. AI and automation won’t fix everything on their own, but they’re quickly becoming core infrastructure for any business that wants to stay fast, dependable and ready for whatever trend hits next.
