AI-powered shopping takes center stage as social commerce, hybrid retail, and media networks converge

The 2023 holiday season underscored the emergence of hybrid shopping as a dominant consumer behavior, with approximately 73% of payment volume occurring in physical stores and 27% online, reflecting shoppers’ desire to blend tactile, experiential retail with digital convenience. As highlighted during Black Friday interviews, consumers sought to touch and feel products and valued personalized in-store assistance, while still leveraging online channels for research and purchase, signaling that the growth of online shopping is ongoing but not yet supplanting brick-and-mortar experiences.

Artificial intelligence made its first significant impact on holiday shopping by enhancing consumers’ initial research, price comparison, and deal discovery rather than automating purchases outright. About half of consumers planned to use AI tools during the season, with AI becoming a household staple for savvy shopping, as noted by Visa’s chief economist Wayne Best and retail experts. This early adoption shaped product discovery and fueled online sales growth, yet retailers remained cautious, prioritizing clear ROI before widespread AI automation in stores, with more substantial adoption anticipated around 2026.

Retailers responded to these evolving hybrid and AI-influenced shopping journeys by striving to deliver seamless experiences across both physical and digital channels during key retail events like Black Friday. Industry voices emphasized that large language models such as ChatGPT are reshaping the potential shopping journey, compelling retailers to rethink strategies that integrate AI-driven search and discovery while maintaining strong in-store experiential elements, as seen in malls like American Dream and Mall of America which posted 8 to 10% gains.

By early 2026, retailers recognized that omnichannel success hinges less on adding new features and more on operational discipline and system unification, as over 80% of sales still occur in physical stores. Despite a 33% surge in AI investments and significant IT upgrades by nearly half of retail leaders, only 15% feel they fully leverage their omnichannel systems due to fragmented digital add-ons and persistent data silos, underscoring the need for embedded AI frameworks with clear governance to unlock true potential.

Luxury and specialty brands like Pandora illustrate AI's power to deepen personalization by replicating the emotional and memory-driven nuances of in-store interactions online. Pandora’s AI-powered agentic selling chatbots have achieved a 60% deflection rate and boosted Net Promoter Scores by around 10%, reflecting enhanced customer engagement and cost efficiency, even as the company cautiously pilots this technology in select markets to navigate the complexity of selling sentiment-rich products versus more straightforward items.

Physical stores are evolving into dynamic, AI-enabled community hubs that seamlessly integrate with digital channels to create unified commerce experiences. Retailers like Sephora and Nike are redesigning stores to blend digital tools with tactile product exploration, while AI-driven sensing technologies allow stores to 'sense' consumer behavior and preferences in real time, transforming static storefronts into decision engines that validate and complement the broader customer journey.

Innovators such as Max Fashion and David’s Bridal demonstrate how AI and RFID technologies are enhancing both personalization and operational efficiency across omnichannel retail. Max Fashion’s smart fitting rooms use AI-driven recommendations and RFID tracking to streamline in-store experiences, while David’s Bridal leverages AI-powered agentic storefronts within chat environments to meet over 70% of consumers willing to purchase directly through AI, reflecting a comprehensive AI adoption that spans customer-facing and internal operations.

As omnichannel shopping intensifies—with 73% of apparel shoppers buying both online and offline—retailers are prioritizing AI applications that enhance operational efficiency in physical stores rather than flashy customer-facing tech. AI’s role in stores increasingly focuses on practical tasks like planogram management and inventory optimization, indirectly improving customer experience by supporting store associates and enabling scalable, cost-effective solutions over gimmicky features like interactive mirrors.

By late 2025, social platforms such as TikTok, Instagram, and Pinterest have transcended their roles as mere social networks to become primary search engines for younger consumers, with 41% of Gen Z adopting a 'social-first' mindset that bypasses traditional search engines entirely. This shift is underscored by Google's 2025 initiative to deep-index public Instagram and TikTok content, integrating social videos directly into standard search results and signaling a convergence of social and traditional search behaviors. Consequently, the social commerce market is booming, projected to reach $1.2 trillion by the end of 2025, reflecting the profound impact of social-first discovery on commerce strategies.

In early 2026, Meta and TikTok are pioneering AI-powered personalized shopping assistants that actively guide users from interest to purchase within their social ecosystems. Meta's agentic commerce tools, for example, reduce the 'say, do gap' by interpreting user engagement signals—such as lingering on an ad—to prompt cart additions, while TikTok Shop leverages short-form videos to trigger impulse buys, especially for affordable items priced under $20. This AI-driven personalization is mirrored by brands like Pandora, which uses AI to replicate the emotional and confident in-store jewelry shopping experience digitally, achieving notable improvements in customer satisfaction and service efficiency.

Short tutorial and demonstration videos have revitalized the infomercial model on social media, becoming the top purchase trigger for consumers in markets like Australia by mid-2026. Platforms such as Instagram and TikTok now drive 29% of product discovery—far surpassing brand websites—and 71% of consumers discover new products weekly while scrolling social feeds. However, as AI-driven marketing proliferates, experts like Jessica Hatzis caution that maintaining a human storytelling element is essential to prevent brand homogenization and price-based competition, emphasizing the nuanced balance between AI efficiency and authentic engagement.

By mid-2026, social commerce is rapidly evolving into a dominant conversion channel, with projections that half of social media users will also be social consumers. Influencers serve as critical early demand signals, accelerating the customer journey by saving up to 39% of time in the interest phase and significantly boosting purchase confidence, repeat purchases, and recommendations when well-aligned with product categories. AI plays a pivotal role in this ecosystem by interconnecting components of social commerce and enabling continuous, real-time optimization that shifts away from traditional campaign planning. This synergy of influencer impact and AI personalization is particularly evident on video-centric platforms like TikTok, where sales peak for affordable products priced between $5 and $15.

By 2026, commerce media networks have transcended traditional retail boundaries, expanding into diverse sectors such as airlines, hotels, and financial services, as Jeff Daniel highlights the shift from mere media inventory sales to strategic partnerships leveraging rich first-party data. This maturation is underscored by the emergence of second-tier networks like Target, eBay, and Kroger crossing the $1 billion ad spend milestone, alongside tech-native platforms Uber, DoorDash, and Instacart, which capitalize on cross-merchant transaction data to offer unique advantages beyond conventional retail models. Despite Amazon's dominant share, accounting for the lion's share of over 80% of retail commerce media spend, the ecosystem is becoming increasingly sophisticated and interconnected, demanding new, differentiated strategies tailored to each network's unique assets such as physical stores or category expertise rather than replicating Amazon's blueprint.

Transaction data has evolved into the critical currency fueling commerce media networks, enabling a shift from fragmented channel strategies to integrated, consumer-centric ecosystems where discovery, media, fulfillment, and measurement converge into a seamless experience. Flywheel’s GEO capability exemplifies this trend by unifying AI auditing, content optimization, and performance measurement, resulting in a 56% portfolio growth and an 80% increase in clicks during pilot programs. This data-driven approach is further amplified by AI’s role in automating product discovery and shaping consumer purchase decisions, as NIQ notes that AI is beginning to determine what consumers buy, thereby transforming commerce media into a continuously optimizing, intelligent global ecosystem.

The convergence of Eastern fulfillment and payment models with Western monetization and data measurement strategies is forging a unified global commerce ecosystem that demands evolved media strategies integrating multiple commerce channels. This fusion is driving the rise of live, social, and quick commerce formats—long established in Asia—that now significantly fuel incremental digital growth in Western markets. As agentic AI collapses traditional purchase funnels by taking over product discovery and purchasing duties, brands that leverage best-in-class data within these unified commerce media networks will gain a competitive edge by transforming raw data into actionable commerce intelligence that shapes demand generation, targeting, and measurement across diverse ecosystems.

Commerce media networks are evolving from simple media sales operations into consultative partners that help advertisers craft integrated media plans spanning onsite, owned, offsite programmatic, and measurement channels, reflecting a growing demand for flexible, interoperable data and measurement capabilities beyond proprietary tools. Jeff Daniel emphasizes that the biggest opportunity lies in connecting disparate media touchpoints into coherent consumer journeys, leveraging retailers’ direct insights into actual purchase behavior to solve specific business challenges. Initiatives like Dollar General’s full-funnel capabilities and The Trade Desk’s role as connective tissue between advertisers and retailers illustrate this shift toward making retailer data more accessible and actionable across the open web, fundamentally reshaping supplier-retailer dynamics and media investment priorities.

By mid-2026, the commerce landscape is undergoing a profound transformation towards a unified Total Commerce model that dissolves traditional boundaries between media, retail, trade, and shopper marketing. This evolution is fueled by the convergence of Eastern commerce innovations—such as integrated ecosystems combining content, creators, retail media, payment, and fulfillment—with Western strengths in retail media monetization, first-party data, and measurement infrastructure. Emilie Darolles, President of NIQ West Europe, encapsulates this shift: “Commerce no longer has an East or West—only a connected global model moving at the speed of AI.” This integration creates a continuously optimizing ecosystem where brands leveraging best-in-class data and AI gain a competitive edge.

Central to this unified commerce evolution is the rise of AI-powered agentic decision engines that fundamentally reshape consumer journeys by collapsing traditional purchase funnels. These AI agents autonomously discover, compare, and even purchase products on behalf of consumers, enabling non-linear, discovery-led paths that 80% of shoppers now follow, according to Flywheel’s 2026 report. Platforms like TikTok exemplify this trend, generating $33.1 billion in GMV in Q1 2026 and surpassing eBay, while 36% of consumers have shifted most of their searches to generative AI. This AI-driven convergence accelerates the blending of discovery and purchase into seamless, connected experiences.

The timing of this shift is urgent and laden with opportunity, as agentic shoppers could represent up to $385 billion in U.S. e-commerce spending by 2030, per Morgan Stanley estimates. Yet, significant growth potential remains untapped, especially in Western markets where two-thirds of European consumers have yet to engage with quick or social commerce. Marketers in East India, like Bitan Sarkar of Rupa and Company Limited, emphasize the importance of integrating brand building with performance marketing to secure both immediate sales and long-term growth, while responsibly leveraging first-party data to build consumer trust. This balanced approach is critical as brands navigate the complexities of connected consumer journeys in a rapidly evolving global commerce ecosystem.