AI Assistant Beta Announced for Adobe Experience Platform
Adobe Experience Platform launches AI Assistant beta with AI guidance for data, analytics, and customer journey simulations.

March 15, 2024 brought the announcement of AI Assistant, a new beta feature within Adobe Experience Platform. This conversational AI tool provides merchants and analysts with intelligent guidance on data, analytics, and customer journey optimisation without requiring deep technical expertise.
Data Guidance and Exploration
AI Assistant helps teams understand their data landscape. Rather than manually navigating complex schemas and data dictionaries, teams can ask natural language questions about their data. The assistant provides answers, recommends relevant datasets, and suggests optimisations. This democratises data access and accelerates insights discovery.
Analytics Acceleration
The analytics capabilities allow teams to ask questions like "What's driving cart abandonment?" or "Which customer segments have highest lifetime value?" AI Assistant analyses available data and provides both answers and recommended next steps. This transforms analytics from a specialist function into something accessible to broader business teams.
Customer Journey Simulations
One of the most innovative capabilities is customer journey simulation. Teams can model how changes to the customer experience might impact key metrics before implementing them. This enables confident decision-making and helps avoid costly missteps. Simulations can test everything from checkout flow changes to personalisation strategies.
Why This Matters for Merchants
Most merchants have rich data but lack tools to extract maximum value. AI Assistant levels the playing field, allowing smaller teams to access insights typically reserved for data scientists. This translates to better decision-making, faster optimisation cycles, and improved customer experiences.
The Beta Opportunity
As a beta feature, AI Assistant is available to select customers. Merchants fortunate enough to gain early access should use the opportunity to provide feedback and understand how AI-assisted analytics might transform their workflows. Early learners will develop expertise that becomes increasingly valuable as the feature becomes mainstream.
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