Black Friday is starting earlier every year. Last year, major department stores like Currys, John Lewis and Argos launched their offers at the end of October. On the other end, returns rose by around 80% in the first week of December following Black Friday promotions, showing how the operational peak extends well beyond the initial sales event. David Bailey, Consumer Products Director at Arvato UK, explains how retailers need to plan for disruption when looking at the supply chain.
Peak season has changed from a 72-hour flash sale into a two-month operational marathon. But the biggest challenge of peak season is no longer volume alone. Retailers now face a prolonged period of fluctuating demand that begins with early promotional campaigns in October, builds through November, peaks during Black Friday and Cyber Monday and continues into the Christmas rush.
For UK lifestyle brands, this evolution is exposing the growing importance of operational excellence. Consumers expect products to be available where and when they want them, regardless of channel, while trends move faster than ever. Success increasingly depends on inventory fluidity, speed-to-trend and the ability to deliver a seamless customer experience from purchase through to returns. At the same time, an 80% spike in returns during early December, following Black Friday promotions, creates an additional operational peak. These returns are not directly linked to the October campaigns, but to the orders generated by promotions running through late November and peaking between Black Friday and Cyber Monday.
Operations teams must rapidly reintegrate returned products into inventory while continuing to process rising B2C order volumes in the countdown to Christmas. For third-party logistics providers, this means managing outbound fulfilment and reverse logistics at the same time, with returned stock needing to reach shelves quickly before it loses value or misses the seasonal selling window.
This creates a far more complex challenge than returns alone. Managing this dual pressure requires connected systems, real-time visibility and the agility to adapt as peak season continually changes shape.
This environment exposes the limitations of traditional operational models. Supply chain leaders cannot rely on a static seasonal forecast, a fixed staffing plan or rigid warehouse capacity assumptions. Modern retail requires fully connected, real-time operations.
Moving beyond static forecasts
Influencer trends, spontaneous discounting and social media-driven demand have transformed how lifestyle brands operate. A single viral product can create significant demand almost overnight, making speed-to-trend just as important as stock availability.
As a result, inventory can no longer remain static within a single warehouse or fulfilment location. Retailers need inventory fluidity, enabling stock to move efficiently between fulfilment centres, stores and e-commerce channels as demand patterns shift throughout the peak season.
Consumers demand absolute stock precision, fast delivery and frictionless returns across every channel. For lifestyle brands, omnichannel execution has become a critical operational discipline. Consumers increasingly move between different shopping channels before making a purchase. To support this journey, retailers need a joined-up view of stock and fulfilment across every stage of the customer experience.
Retailers must orchestrate commercial strategy alongside physical fulfilment. Promotional activity should be built into operational planning from the outset, so fulfilment teams can prepare for likely changes in demand. Forecasts should then be updated continuously as live trading data reveals how customers are responding and whether the operation needs to adapt.
Successful operations recognise shifts in consumer behaviour and adapt before the customer experiences service friction.
The second peak: reverse logistics
Reverse logistics represents a second operational peak. For lifestyle brands, returns are no longer simply a post-purchase process. They are a key part of the customer experience and a valuable source of operational data that can influence future inventory planning and product decisions.
A successful Black Friday and Cyber Monday period can trigger a wave of duplicate, unwanted stock. These returns arrive at the same time as the final Christmas orders are being picked and dispatched, creating bottlenecks across inspection teams and inventory accuracy.
Returned products lose resale value every day they sit in a processing queue. Targeted automation turns this bottleneck into a competitive asset. Technology like barcode scanning, automated sorting and RFID help identify and sort incoming products. This helps match stock keeping units and separates standard returns from exceptions in seconds.
As outbound demand continues, capacity must be deliberately divided between picking, packing, inspection and resale. A flexible fulfilment model allows operations to redirect resources as demand changes throughout the peak period.
As return volumes rise ahead of and during peak season, so does the risk of fraud and counterfeit goods entering the reverse-logistics process. RFID technology can help address this by identifying anomalies quickly and directing suspicious items for further inspection. In one fashion operation processing 12,000–14,000 returns each week, the technology helped identify 10–20 suspected counterfeit items per week, while reducing the need for manual searches. The resulting return data can also highlight recurring issues with fit, sizing or product quality early.
Operational insurance: AI, robotics and simulation
Technology alone is not the answer. Its role is to enable faster and better operational decisions. By connecting inventory, fulfilment, customer and returns data, retailers gain the visibility needed to respond as demand patterns change.
AI-enabled orchestration can act as a coordination layer across the warehouse, combining information about stock, demand and available capacity to help determine where each order should be fulfilled. This improves inventory visibility and allows the operation to adjust as conditions change, helping ensure the right product reaches the customer within the promised delivery window.
The value of these technologies becomes clearer during a peak trading period. If a promotion suddenly drives demand for a particular jacket, the system can identify where stock is available, direct the order to the most suitable fulfilment location and flag the need for additional picking capacity. Robotics can then support the movement and scanning of products, while employees focus on exceptions such as damaged packaging, stock discrepancies or urgent delivery issues.
The same data can highlight what is likely to happen next. Predictive analytics may identify a growing backlog of orders or returns, while a digital twin can model the effect of adding a shift, reallocating space or changing carrier capacity before the decision is implemented. This allows teams to test their response and act earlier, rather than waiting for disruption to become a service problem.
Agility as the core metric
Throughput times, inventory accuracy and carrier cut-off compliance remain vital performance metrics. However, organisational agility serves as the true indicator of peak readiness. Success depends on how quickly teams identify an anomaly and execute a solution.
Black Friday remains one of the most visible tests of retail operations, but the lessons extend beyond a single sales event. For lifestyle brands, the priorities are clear: keep inventory moving, respond quickly to emerging trends, connect every sales channel, and treat returns as part of the core operation.
These capabilities also strengthen resilience during other retail peaks, product launches and unplanned disruption, from supplier delays and transport interruptions to geopolitical uncertainty. Connected data and flexible capacity help businesses identify risks earlier, redirect stock and protect customer service when conditions change.
Technology and data provide the foundation, but operational excellence comes from applying them to build a more agile, responsive and reliable retail operation.
