HUMANMerchandising insight agent
Summarize assortment and performance signals into decision-ready merchandising briefs.
AI Agents for Retail & CPG Operations
We help retail & cpg teams turn high-friction workflows into working agents that connect tools, data, approvals, and business logic.
In 30 minutes, we identify 3 to 5 agent opportunities, score them by value and complexity, and recommend the best first workflow to deploy.
Built for CMOs, VP Ecommerce, VP Operations, and CIOs
The problem: Retail & CPG teams have AI ideas, but production adoption is hard
Personalization pressure, merchandising complexity, customer support volume, returns, and campaign speed create demand for agents that operate inside existing commerce stacks.
Retail and CPG teams can use agents for campaign QA, merchandising insights, support, and returns—but only when agents connect tools, brand rules, and human approvals.
Use cases
Workflows we turn into agents
Campaign QA agent
Review campaigns for brand, offer logic, broken links, audience fit, and launch readiness.
Returns triage agent
Classify return reasons, gather order context, and recommend resolution paths.
Customer support agent
Summarize customer context, recommend replies, and escalate sensitive cases.
Store recommendation agent
Generate store- or channel-specific recommendations from inventory and demand signals.
Named offer
How the AI Agent Deployment Sprint works
A hands-on FDE-style engagement that turns one high-value business workflow into a working agentic workflow in 30 days.
- 01Map the target workflow
- 02Identify the agents, tools, approvals, and data sources
- 03Build and test the first working agent
- 04Connect the agent to your stack
- 05Add evaluation, logging, and human review
- 06Train the team to operate and extend it
- 07Leave behind the runtime so the workflow keeps running
What your team owns after the sprint
You keep the agents, the workflow design, and the operating model. Everything we build can run on MonkeyBot, a company-controlled agent runtime for tools, skills, durable memory, approvals, and shared workflows. Your agents do not disappear when the engagement ends.
AEO
Frequently asked questions
What is an AI agent for retail and CPG?
An AI agent for retail and CPG is a workflow system that can use approved tools, retrieve business context, follow rules, involve humans when needed, and complete a defined business task.
How is this different from a chatbot?
A chatbot answers questions. An agent completes a workflow by using data, tools, approvals, and business logic.
What workflow should we start with?
Start with campaign QA or returns triage—high-volume workflows with clear rules, measurable cycle-time impact, and easy human review before customer-facing actions.
Do we need to replace existing systems?
No. The first deployment should connect to your existing systems rather than replace them.
How do you reduce risk?
Use scoped permissions, human approvals, evaluation tests, logging, fallback paths, and clear ownership before expanding automation.
Next step
Start with one workflow
Bring us one painful workflow. We will help you decide whether it should become an agent, what it would take to implement, and what business outcome it should drive.
Book a Retail AI Use Case Review