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 Brand Concierge Launched: AI-Powered Transactional Agent

Adobe Brand Concierge is an AI-powered conversational agent with access to buying patterns, inventory, and product insights for enhanced customer service.

6 min
Adobe Brand Concierge Launched: AI-Powered Transactional Agent

On March 20, 2025, Adobe launched Brand Concierge, an AI-powered conversational agent designed specifically for e-commerce. Unlike generic AI chatbots, Brand Concierge understands merchant-specific buying patterns, inventory status, product attributes, and customer history—enabling genuinely helpful customer interactions.

The Chatbot Evolution

Early e-commerce chatbots were script-based, triggering pre-written responses to keywords. More recent AI chatbots understand language but lack commerce context—they can discuss products in general but not merchant-specific inventory or customer history. Brand Concierge bridges this gap by integrating directly with Adobe Commerce data, understanding not just language but merchant-specific commerce reality.

Key Capabilities

Brand Concierge can access real-time inventory data to answer stock status questions accurately, review customer purchase history to make personalised product recommendations, understand detailed product attributes to answer technical questions, and integrate with customer service workflows to escalate complex issues appropriately. This transforms customer service from reactive problem-solving into proactive assistance.

Buying Pattern Intelligence

The agent learns each merchant's unique customer base—seasonal buying patterns, product affinities, price sensitivity, and preferred categories. This learning enables Brand Concierge to make contextually appropriate recommendations. When a customer asks for gift suggestions, Brand Concierge understands that customer's past purchases and budget constraints, delivering suggestions more likely to convert.

Implementation

Brand Concierge integrates seamlessly with Adobe Commerce through standard APIs, requiring minimal technical setup. Merchants configure brand voice, escalation policies, and inventory integration—the agent handles the rest. The system learns continuously from interactions, improving recommendations over time without manual retraining.

Customer Experience Impact

Brand Concierge enables 24/7 availability for customer questions, reduces customer service volume through effective self-service, provides personalised recommendations increasing average order value, and creates more human-like interactions building customer loyalty. For merchants, this means better customer experiences without proportionally increasing support costs.

Strategic Implications

Brand Concierge represents Adobe's broader AI strategy—embedding intelligence throughout the commerce platform rather than bolt-on tools. For merchants, this means increasingly sophisticated features that deepen customer relationships. For Tom&Co, this opens conversations with merchants about customer service transformation and AI-powered selling strategies.

Want to read more insights?

View All Articles