StallerStack
AI Solution

Retail AI Agent

We build AI agents for retail operations — answering product questions in-store or online, flagging inventory issues before they cause stockouts, and supporting sales associates with real-time product knowledge.

0%

Avg. Stockout Reduction

5-9 wks

Typical Engagement

In-Store & Online

Channels

Real-Time

Product Catalog Grounding

What's Included

Retail agent for the target use case

Live product catalog and inventory integration

Deployment to in-store and/or online channels

How We Work

01

Retail Workflow Audit

We identify where customer engagement or inventory friction is costing sales or efficiency.

02

Catalog Grounding

The agent is grounded in your live product catalog and inventory data.

03

Agent Build

We build the agent for the target use case — customer Q&A, inventory alerts, or associate support.

04

Deployment

We roll out to the chosen channel with usage and impact tracking.

What You'll Receive

  • Retail agent for the target use case
  • Live product catalog and inventory integration
  • Deployment to in-store and/or online channels
  • Impact tracking dashboard
  • Training material for store associates

How Engagements Typically Work

Every project starts with scoping — here's the shape most engagements for this service take.

01

Single-Store Pilot

A 3-4 week pilot at one location or storefront to validate the agent's usefulness.

02

Production Build

Full agent build with catalog integration and multi-channel deployment — typically 5-9 weeks.

03

Ongoing Optimization

Monthly retainer to expand coverage and tune against seasonal catalog changes.

Technologies We Use

The tools and platforms our Retail AI Agent team works in day to day.

Agent Stack

OpenAI API
Pinecone
Python

Retail Systems

GraphQL
PostgreSQL

Frequently Asked Questions

Yes — we build for whichever channel matters most first, with the option to expand to the other later.

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