NRF 2026: One Takeaway You’re Piloting
Retailers attending NRF 2026 left with actionable strategies to implement immediately in their operations. This article examines the most common pilot program emerging from the conference, backed by insights from industry experts who have successfully deployed similar initiatives. Learn what leading retailers are testing right now to meet rising customer expectations for transparency.
Show Real-Time Promise Dates
We're piloting dynamic promise dates at the shelf, showing shoppers accurate delivery and pickup windows in real time. The business case came from lost conversions tied to uncertainty and service desk load. In addition to this, clearer expectations boost confidence without discounting. The early signal I'm watching is attachment rate on higher margin add ons, since trust at decision time tends to increase basket depth.

Unify Shopper Identity Across Channels
A unified identity layer is being piloted to connect shopper records across web, app, store, and service channels. The goal is to build a single, consented profile that updates in real time and powers simple, helpful moments. Offers, help messages, and service handoffs become more relevant when the same ID follows the customer.
Loyalty data and receipt history add context while honoring privacy rules and regional laws. Clear value exchange, such as faster checkout or bonus points, drives sign ups and trust. Start a small, consent-first identity pilot in one market and measure lift in engagement this quarter.
Modernize Checkout With One-Click Pay
A composable checkout is being tested to bring one-click pay to web, app, and store. Payment parts, like wallet, fraud check, and routing, plug in and can change without a full rebuild. Network tokens and passkeys cut friction while keeping cards safe.
Smart routing lowers fees and keeps approval rates strong across markets. The same saved pay method can support buy online, pick up in store, and easy returns. Stand up a sandbox and run A/B tests to prove faster checkout and higher conversion now.
Deploy AI Copilots For Frontline Teams
Generative AI copilots for store teams are being explored to cut task time and raise service quality. The assistant can suggest answers, draft messages, and guide steps for returns or repairs in plain language. Built-in guardrails keep content brand-safe and prevent sharing of private data.
Voice, image, and translation features help teams serve more shoppers with less friction. Simple UI and offline modes reduce training and keep the tools useful on a busy floor. Launch a limited store rollout with clear success goals and collect feedback daily.
Use RFID To Raise Stock Accuracy
Item-level RFID is being updated to give near real-time stock accuracy across the chain. Handheld and fixed readers keep counts fresh so pickers do not promise items that are not there. Replenishment can be triggered when shelves run low, which helps sales and reduces waste.
Better accuracy also shrinks losses by flagging gaps and unusual moves. Staff routines change with simpler scans and clear alerts, which supports faster BOPIS and ship-from-store. Start a focused pilot in a high-mix store and track accuracy, sales, and labor time weekly.
Add Media Screens Near Point Of Sale
In-store screens are being added to the retail media plan to reach shoppers moments before they buy. Dynamic messages can change by time, weather, or stock levels to boost relevance. Closed-loop reports use point of sale data to show real sales lift to brands.
Privacy-safe audience methods and clear labels keep trust strong with shoppers. New ad income can fund better store tech and lower media costs for suppliers. Invite key brand partners to co-design a test flight and commit to shared outcomes today.
