AI Revolutionizes Online Shopping: A Rapid Rise

The Rise of AI in Online Shopping

According to Salesforce's "State of Commerce" report, the use of artificial intelligence in online shopping searches has seen a dramatic increase of 200% over the past twelve months. This study, which surveyed 3,450 commerce professionals and 4,690 consumers, also relies on behavioral data from over 1.5 billion consumers worldwide. AI has become a central element in raising customer expectations, making it the top priority for e-commerce leaders.

Key Takeaways from the Report

The report highlights that 86% of commerce professionals believe AI enhances customer expectations. In response, the implementation and expansion of artificial intelligence capabilities have become the number one priority for these leaders. Improving data quality, accessibility, and management closely follows, with automation and streamlining processes in third place. However, 61% of professionals feel that meeting these rising expectations is more complex than ever.

Challenges and Opportunities

One of the main challenges for commerce leaders is integrating and expanding AI capabilities, which presents both an opportunity and a hurdle. Other challenges include managing supply chain issues, data fragmentation across different systems, evolving privacy and data regulations, and gaps in qualified personnel.

Towards Scaling AI

Companies are no longer content with pilot projects in AI. The year 2026 is seen as a turning point where the focus must shift to operational scale rather than limited experiments. Currently, 35% of agent-based AI users are focused on expanding these capabilities, moving away from simple proofs of concept.

Use Cases for Agent-Based AI

Agent-based AI finds several applications in commerce, including autonomous customer service resolution, AI shopping concierges, autonomous replenishment purchasing, decision-making, and autonomous fraud intervention, as well as autonomous merchandising optimization.

Data Integration: A Major Challenge

Over 60% of commerce leaders identify poor data integration, the absence of a clearly defined AI strategy, and poor data quality as major obstacles to scaling AI. Other barriers include concerns about security and trust, a lack of AI skills within organizations, and change management.

Improvements Through AI

Companies are seeing significant improvements through the use of AI agents. The top three benefits for B2B organizations using these agents include revenue growth, increased employee productivity, and improved organizational efficiency.

Growing Adoption of Agent-Based AI

To address data fragmentation and disconnected systems, commerce leaders are expanding their supplier ecosystems. Only 29% of leaders believe their current business platforms meet basic needs. To enhance their capabilities, they are looking to integrate features such as AI-powered personalization (46%), order management (40%), and content management (39%).

The Influence of AI on Buying Behavior

Customers are increasingly using AI to discover and research products before making purchasing decisions. They expect a level of online personalization equivalent to that of physical stores. In fact, 84% of B2B buyers agree that customers expect this same level of online personalization from their account teams.

Conclusion

Commerce companies that succeed in standing out and outperforming the market will be those that focus on leveraging data, scaling AI in production, reskilling their employees, and integrating systems to unify customer data. The future of commerce is decidedly geared towards autonomy, requiring the removal of silos and an intentional strategy to create a deeply connected stakeholder ecosystem.