Scott Benedict unpacks the 2026 Profitero benchmark study, showing why operational capability beats org chart integration and how Centers of Excellence can connect AI, shopper insights, and supply chain decisions for omnichannel growth.
Scott Benedict explains how retail is shifting from passive personalization to proactive prediction, breaking down how anticipating household purchase rhythms reshapes inventory planning, retail media, and AI agent discoverability.
Scott Benedict explains why ecommerce teams should stop testing random tweaks and focus on real customer friction points, using journey maps, session replays, and heatmaps to turn failed hypotheses into lasting revenue gains.
Scott Benedict breaks down how retail AI will shape holiday 2026, showing why backend decision making and localized inventory allocation matter more than autonomous buying, with merchants still firmly in the driver's seat.
Scott Benedict explains why intelligent enterprises must orchestrate data across every business unit rather than stacking software, breaking down clean data, automation guardrails, and where human judgment still matters.
Scott Benedict breaks down why brands are demanding proof of true incremental performance from retail media networks, contrasting platforms integrated with merchandising against those failing to justify their ad spend.
Scott Benedict breaks down how Target's return to core merchandising and faster assortment refresh cycles is driving traffic, showing why sourcing emerging brands often beats big marketing when demand stalls.
Scott Benedict breaks down why rising retail revenue is masking a hidden unit volume crisis, revealing how price hikes, private label shifts, and shrinking baskets distort what merchants think is actual demand.
Scott Benedict explores why retail media is becoming commerce's operating system, revealing how AI powered orchestration and unified merchandising strategy determine whether high intent clicks actually convert into sales.
Scott Benedict explains how AI is compressing the traditional purchase funnel into single conversational searches, and why brands must build clean, structured product data to get recommended by AI shopping assistants.
Scott Benedict breaks down new NielsenIQ findings on the four stage progression toward agentic commerce, explaining why clean, structured product data matters more than flashy AI as brands prepare for algorithmic shopping.
Scott Benedict breaks down new Profitero findings on AI shopping assistants, explaining why structured product data and detail pages are becoming mission critical infrastructure for winning AI driven retail discovery.
Scott Benedict draws on decades at Walmart, Sam's Club, and Best Buy to explain why AI won't replace human merchants, arguing predictive tools optimize transactions while strategic judgment remains an irreplaceable art.
Scott breaks down a new FMI/NielsenIQ report showing grocery leading retail innovation, from hyper-fast fulfillment and TikTok Shop discovery to AI recommendation engines paving the way for autonomous agentic commerce.
Scott Benedict breaks down generative engine optimization, showing how brands must clean up product data and structure content so AI platforms can accurately parse, cite, and recommend them in the new search landscape.
Optimizing single retail locations creates massive data blind spots that hurt forecasting. Scott Benedict breaks down why understanding the interconnected ecosystem of physical spaces and digital channels is critical for accurate performance measurement and long term retail growth.