Tredence Unveils 'System of Agents': Complete Guide to Retail AI Agent Ecosystem

Key Takeaways

Tredence unveils "System of Agents" with 12+ AI agents at NRF 2026
Accelerators reduce agent-driven shopping experience development time by 60%
Serves 8 of world's top 10 retailers with strategic Google Cloud partnership

Unveiling at NRF 2026

Tredence Unveils Agentic Commerce Solution Accelerators

Tredence, a global data science and AI solutions provider, today announced the launch of its Agentic Commerce accelerators.

On January 12, 2026, data science and AI solutions provider Tredence officially announced its Agentic Commerce Accelerators at the National Retail Federation (NRF) conference.

Showcased at the Google Cloud booth, this solution provides "configurable starting points" for retail companies to rapidly build AI agent-driven shopping experiences, reducing time to value by 60%.

What is "System of Agents"?

The core of Tredence's approach is the "System of Agents" concept—where multiple specialized agents collaborate rather than relying on a single AI.

Agent Roles

Each agent specializes in specific areas while collaborating through an integrated data model:

Agent	Function
Cosmos Customer Intelligence Agent	Understanding customer behavior, predicting actions, modeling preferences
Personalized Content Generation Agent	Automatic generation of individualized marketing content
Contextual Search Agent	Context-aware product search
Shopper Concierge Agent	Concierge functionality guiding the entire shopping journey
Customer Engagement Agent	Customer engagement optimization
Store Operations Agent	Identifying out-of-stock causes and executing corrective actions

Tredence maintains 12+ AI agents in total.

Integrated Data Model

The key to these agents' effectiveness is Tredence's "integrated data model." Each agent can:

Real-time Sensing: Instantly detect supply chain disruptions, demand fluctuations
Contextual Understanding: Make decisions based on company-specific data and market conditions
Autonomous Decision-making: Execute actions without human intervention
Continuous Adaptation: Optimize operations aligned with business objectives

Strategic Partnership with Google Cloud

Google Cloud Executive Comment

Jose Gomes, VP of Retail & Consumer Goods at Google Cloud:

True transformation happens when advanced technology meets the right implementation partner. Tredence translates Google's AI capabilities into retail-ready, practical multi-agent systems that deliver measurable business outcomes from day one
引用元：Jose Gomes, Google Cloud VP

Multi-Cloud Support

While the initial NRF showcase ran on Google Cloud, the accelerators are designed to be deployed across major cloud platforms based on each retailer's enterprise architecture.

150+ AI/ML Accelerators

Tredence's solution strength lies in its 150+ AI/ML accelerators in addition to 12+ agents:

50% reduction in time to value
Pre-built models for specific use cases
Customizable to each retailer's needs

Track Record

Metric	Achievement
Clients	8 of the world's top 10 retailers
AI/ML Accelerators	150+
AI Agents	12+
Awards	Retail AI Partner of the Year across Azure, Google, Databricks, Snowflake

Implementation Results

Companies using Tredence solutions have achieved:

15-20% improvement in key KPIs
50% reduction in deployment time
Improved operational efficiency across retail operations

Summary

Tredence's "System of Agents" represents an important step in transforming agentic commerce from concept to implementable solution. Through its strategic partnership with Google Cloud, 150+ accelerators, 12+ specialized agents, and proven track record with top global retailers, Tredence is establishing itself as a leader in accelerating the agentic transformation of the retail industry.