AWS Agentic Automation Chatbot - Retail
CBTW · Customer Service
Certification per AWS Marketplace.
Evidence tier Source Confirmed · 4 captures on record
What the publisher says
As described on AWS Marketplace.
Our solution uses autonomous AI agents built on AWS AgentCore to act as a bridge between your business rules and your technical systems. Unlike traditional chatbots that just provide information, these agents integrate with your systems to think, plan, and take action.
- How it works: Agents are connected to your existing IT stack, such as CRM, inventory, ERP, and your data sources, including documents and databases.
- What it does: They handle end-to-end tasks like tracking orders, initiating returns, or replenishing stock without needing a human to click the buttons.
- The "Brain": It uses state-of-the-art generative AI to understand complex requests and decide the best way to execute them while following your specific guidelines.
Show the rest of the publisher’s description (14 more lines)
Our agentic solution for retail is not an out-of-the-box solution. It is tailored to your business processes, security, compliance, and data policies. Our solution is broken into three distinct value-driven phases:
- Proof of Value: 4–6 weeks
- MVP: 8–10 weeks
- Scaling: Continuous delivery
Key features:
- Reasoning-Based Task Handling
- Contextual Memory
- Human-in-the-Loop Safeguards
- Unified Data Access (MCP Servers)
- Action-Oriented Tools
- Multi-Channel Deployment
- Precision Guardrails
- Event-Driven Triggers
- Real-Time Performance Monitoring
Highlights
Highlighted by the publisher on AWS Marketplace.
60% cost reduction by automating repetitive interactions significantly cuts down the cost per customer service interaction.
40% reduction in manual handling time for customer service teams.
Up to 70% of requests can be resolved autonomously without human intervention.
Agent build and provenance
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Sources
Linked repositories
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