15+Years Trading
£3bnRevenue Processed
75Team Size
B2C & B2BExperience
Strategy-ledRetainer
1 WeekDiscovery
< 6 MonthsReplatform
15+Years Trading
£3bnRevenue Processed
75Team Size
B2C & B2BExperience
Strategy-ledRetainer
1 WeekDiscovery
< 6 MonthsReplatform
15+Years Trading
£3bnRevenue Processed
75Team Size
B2C & B2BExperience
Strategy-ledRetainer
1 WeekDiscovery
< 6 MonthsReplatform
15+Years Trading
£3bnRevenue Processed
75Team Size
B2C & B2BExperience
Strategy-ledRetainer
1 WeekDiscovery
< 6 MonthsReplatform
15+Years Trading
£3bnRevenue Processed
75Team Size
B2C & B2BExperience
Strategy-ledRetainer
1 WeekDiscovery
< 6 MonthsReplatform
15+Years Trading
£3bnRevenue Processed
75Team Size
B2C & B2BExperience
Strategy-ledRetainer
1 WeekDiscovery
< 6 MonthsReplatform

Adobe Summit 2020: AI-Powered Product Recommendations Unveiled

Adobe announces Sensei-powered product recommendations, PWA enhancements, and Adobe Stock integration.

4 min
Adobe Summit 2020: AI-Powered Product Recommendations Unveiled

Adobe Summit 2020: AI-Powered Product Recommendations Unveiled

At Adobe Summit 2020, Adobe unveiled significant enhancements to its commerce platform, with AI-powered product recommendations emerging as a headline feature. The announcements underscore Adobe's strategic direction: delivering intelligent, personalised shopping experiences powered by machine learning whilst maintaining platform flexibility and ease of use.

Sensei-Powered Product Recommendations

Adobe Sensei, the company's artificial intelligence and machine learning framework, now powers intelligent product recommendations within Adobe Commerce. This represents a meaningful advancement over traditional rules-based recommendation engines. Sensei analyses vast amounts of behavioural data—browsing patterns, purchase history, seasonal trends—to deliver genuinely personalised product suggestions that drive incremental revenue.

What Merchants Get

The recommendation engine requires minimal configuration. Merchants benefit from out-of-the-box intelligence without needing data science teams to build and tune models. The system continuously learns from customer interactions, adapting recommendations in real-time as shopping patterns evolve. This means recommendations improve over time without manual intervention.

For merchants, this translates to higher average order values, improved customer satisfaction through better-matched recommendations, and stronger customer lifetime value through increasingly personalised experiences.

PWA Enhancements

Building on the PWA support introduced in earlier releases, Adobe announced further refinements to progressive web app capabilities. Enhanced offline functionality, improved app-like experiences, and better caching strategies enable merchants to deliver mobile experiences rivalling native applications—without the complexity and cost of app development.

Adobe Stock Integration

Adobe announced deeper integration with Adobe Stock, its extensive royalty-free imagery library. Merchants can now access millions of professional images directly within Adobe Commerce, streamlining product photography and marketing asset creation. This integration reduces reliance on external asset procurement and accelerates content creation workflows.

Implications for the Commerce Landscape

These announcements signal Adobe's commitment to intelligence and accessibility. Merchants of all sizes gain access to AI-powered capabilities that were previously only possible through expensive consulting engagements or custom development. The focus on ease of use ensures that technical sophistication doesn't become a barrier to adoption.

For agencies and merchants, the message is clear: intelligent, personalised commerce is becoming the baseline expectation. Platforms that deliver these capabilities natively gain competitive advantages. Early adoption of these features positions merchants favourably in an increasingly sophisticated competitive landscape.

Want to read more insights?

View All Articles