RFID After a Record Holiday Season: the 2025 Lessons Shaping 2026

The 2025 holiday season broke every record worth breaking. From November 1 to December 31, US shoppers spent a record $257.8bn online – up 6.8% year-over-year and the first holiday period to top a quarter-trillion dollars. Cyber Week alone drove $44.2bn, Cyber Monday set a single-day record of $14.25bn, and mobile crossed a threshold of its own, accounting for the majority of online transactions for the first time at 56.4%. 

But the headline number hides the operational story. A record season is also a record stress test, and for apparel and accessories brands, three quiet margin leaks widened under pressure: empty shelves, a returns tide, and missing inventory. Each traces back to the same root cause, and each is addressable with the same intervention applied at source.

What the numbers proved

Behind the spending record sits a more useful signal for anyone managing stock. Apparel remained one of the top three online categories, and it carries the highest SKU complexity of any of them, every style multiplied by size, colour, and fit. That complexity is exactly where inventory systems break down when volume spikes.

Two other 2025 signals matter for planning. First, traffic reaching retailers from generative-AI assistants jumped 693% year over year, a sign that shoppers are increasingly putting ‘is this actually available?’ to a chatbot rather than a search bar. Second, on the busiest days, roughly six in ten purchases were made on a phone. Both trends reward brands whose ‘in stock’ actually means in stock, and punish those whose data can’t keep up in real time.

Leak one: availability

Out-of-stock messaging remains the single most cited holiday shopping frustration. The damage runs deeper online. When a shopper adds an item shown as available, only to be told at checkout that it’s gone, the lost sale is the smaller cost; the larger one is the dent in confidence that keeps them from coming back. That gap, stock that exists on the record but not on the rack, is what inaccurate inventory data produces at scale. 

Leak two: returns

If 2025 had a sleeper statistic, it was returns. US shoppers were projected to send back $849.9bn in merchandise, and while the overall rate eased slightly to 15.8%, e-commerce returns ran far higher at an estimated 19.3%. Apparel and footwear sit at the top of that curve, driven by fit and sizing and by ‘bracketing,’ where a customer orders three sizes intending to keep one.

Returns are a strategic pressure point. Free returns are now a purchase decider for 82% of shoppers, up from 76% a year earlier. At the same time, around 9% of returns are fraudulent, and reverse logistics, grading, restocking, and getting sellable items back on the floor before the season ends, have become a margin battleground. A garment that takes three weeks to reappear in inventory is a garment sold at markdown, if at all.

Leak three: shrink

Inventory loss rounds out the picture. Independent 2026 benchmarking put US retail shrink at roughly $90bn, of which an estimated $66bn was considered preventable. What’s striking is how varied that loss has become: alongside theft sit administrative errors, supplier discrepancies, and poorly handled returns, and the mix keeps shifting year after year. However it’s caused, the question for finance is the same one: when the books and the shelf disagree, can anyone account for the difference? Shrink, return errors, and count inaccuracy all show up the same way on a balance sheet: inventory that should be there and isn’t. 

Why traditional counting can’t close the gap

All three leaks share a cause. Most apparel retailers still run on manual and barcode-based counts that deliver only 60%–75% item-level accuracy. At that level, a quarter to a third of stock records can be wrong at any given moment, an error a brand shrugs off in a quiet week but cannot afford across a record December. Manual cycle counts are slow, labour-intensive, and out of date the moment they’re finished, leaving warehouse, store, and e-commerce numbers permanently out of sync. 

The fix starts at the source

RFID closes the accuracy gap decisively. Retailers deploying item-level RFID routinely lift inventory accuracy into the 95%-99% range, with fully deployed programmes reaching above 98%. The operational payoff is well documented: out-of-stocks cut by up to half, comparable-store sales lifts in the 5%–15% range, shrink reductions of 10%–25%, and cycle counts that drop from hours to minutes. 

The strategic point for brands, though, is where the tag goes on. The most successful programs tag at source – encoding RFID during manufacturing, before a garment ever leaves the factory. Lululemon reached 98% accuracy across roughly 500 stores by source-tagging at more than 30 factories in 15 countries, with a payback period under a year. Source tagging is the same logic pharmaceutical serialisation and airline baggage tracking rely on: build identity into the item at the origin, and every downstream system -warehouse, store, e-commerce, returns desk – inherits trustworthy data for free. 

For apparel specifically, that identity can live inside the label the garment already needs. A woven or printed RFID care label carries the tag without adding a separate hangtag or process step, survives normal laundering, and turns a mandatory trim into a data asset. That is where returns and shrink come back into the story: an item-level tag makes a returned garment scannable in seconds, graded and restocked faster, and far harder to defraud – and it gives loss prevention a real-time audit trail rather than a quarterly guess. 

What it means for 2026 and beyond

The 2026 season will only raise the stakes. As AI assistants take a larger role in discovery and even in placing and returning orders, the brands that win will be the ones feeding those systems accurate, item-level data, because an agent that recommends an out-of-stock item erodes trust at machine speed. Add the approaching wave of textile traceability and Digital Product Passport requirements, and the same tag encoded at source starts doing double duty: inventory accuracy today, provenance and circularity tomorrow. 

The question worth asking before the next peak isn’t whether RFID works — a record holiday season already answered that. It’s whether your data will be ready when demand, returns and scrutiny all arrive at once. 

Partner with Trimco Group for RFID tagging at source. For brands managing countless styles, sizes and colours, source-level RFID, integrated with the trims and labels a garment already carries, turns inventory accuracy into a competitive advantage that holds up under peak-season pressure. Ask us anything about RFID tagging solutions. 

Sources: Adobe Analytics 2025 Holiday Shopping Report; https://business.adobe.com/resources/holiday-shopping-report.html,  National Retail Federation & Happy Returns, 2025 Retail Returns Landscape; Appriss Retail 2026 Total Retail Loss Benchmark; Auburn University RFID Lab, item-level inventory-accuracy research (rfid.auburn.edu)