[RU] AI Employees for E-commerce
[RU] Your store never closes. Your AI employees should not either. We build, deploy, and manage AI employees that handle customer inquiries, recover abandoned carts, write product content, and keep operations running, 24/7/365, for $2,000/mo per role.
[RU] Book Your Audit. $3,500[RU] What Is the Biggest Problem E-commerce Teams Face?
[RU] The biggest operational problem in e-commerce is the gap between 24/7 demand and limited team hours. You are selling around the clock, but your team works 8 hours a day.
[RU] Customers ask the same 50 questions about sizing, shipping, and returns. Carts are abandoned at a rate above 70% (Baymard Institute, 2025) with no follow-up. Product descriptions sit unwritten because nobody has time. Inventory alerts fire too late.
[RU] Your team is good. They are just buried in volume that grows faster than headcount.
[RU] AI employees handle the repetitive, high-volume work that currently falls through the cracks, so your team can focus on merchandising, vendor relationships, and growth.
[RU] Which AI Employees Work in E-commerce?
[RU] Six production-grade AI employees built for e-commerce operations. Each one integrates with your store platform, follows your brand guidelines, and escalates what requires human judgment.
[RU] Customer Support Specialist
[RU] Handles customer inquiries across chat, email, and social. Instantly, accurately, around the clock.
- [RU] Answers questions about orders, shipping, sizing, returns, and product details using your actual catalog and policy data
- [RU] Processes return and exchange requests following your specific rules and escalation criteria
- [RU] Hands off complex issues to your team with full conversation context. No customer repeats themselves
- [RU] Speaks your brand voice across every channel, every interaction
[RU] The 80% of support tickets that are repetitive and predictable, freeing your support team for the 20% that need a human touch.
[RU] Customers expect instant responses. This AI employee delivers them 24/7 without increasing headcount.
[RU] Cart Recovery Specialist
[RU] Re-engages abandoned carts with personalized follow-up across email, SMS, and chat.
- [RU] Triggers recovery sequences within minutes of cart abandonment, not hours
- [RU] Personalizes outreach based on cart contents, browsing behavior, and customer history
- [RU] Offers targeted incentives (free shipping, discount codes) based on rules you define
- [RU] Tracks recovery attribution so you know exactly what each recovered cart is worth
[RU] The 70%+ of carts abandoned before checkout (Baymard Institute, 2025). Most stores send a generic email 24 hours later. This AI employee acts in minutes with a personalized message.
[RU] Speed and personalization drive cart recovery. Generic emails hours later do not.
[RU] Product Content Writer
[RU] Writes, optimizes, and maintains product descriptions, category pages, and SEO content at scale.
- [RU] Generates product descriptions from spec sheets, images, and supplier data, in your brand voice
- [RU] Optimizes existing descriptions for search with keyword integration and structured markup
- [RU] Writes category page copy, buying guides, and comparison content
- [RU] Maintains content freshness across your entire catalog as products change
[RU] The content backlog that grows with every new SKU. If you have 500 products and 200 have thin or missing descriptions, it clears that backlog and keeps it clear.
[RU] Better product content means better search rankings and higher conversion rates.
[RU] Inventory Operations Monitor
[RU] Monitors stock levels, flags anomalies, and coordinates reorder workflows across your supply chain.
- [RU] Tracks inventory across warehouses, channels, and fulfillment partners in real time
- [RU] Flags low-stock items before they go out of stock, based on sales velocity, not arbitrary thresholds
- [RU] Generates purchase order drafts and sends restock alerts to your procurement team
- [RU] Reports on dead stock, overstock, and sell-through rates weekly
[RU] The operational grunt work of inventory management. Your team sets the strategy. The AI employee executes the monitoring, alerting, and reporting.
[RU] Stockouts lose sales. Overstock ties up capital. This AI employee keeps your inventory optimized.
[RU] Review and Reputation Manager
[RU] Monitors, responds to, and analyzes customer reviews across every platform.
- [RU] Responds to reviews on Google, Amazon, Trustpilot, and social platforms following your brand guidelines
- [RU] Flags negative reviews for immediate human attention with suggested response drafts
- [RU] Aggregates review sentiment into weekly reports highlighting product issues, shipping complaints, and praise patterns
- [RU] Requests reviews from satisfied customers at the right moment in the post-purchase flow
[RU] The review management that most e-commerce teams handle reactively, if at all. Consistent responses, faster resolution, better data.
[RU] Reviews drive purchase decisions. Responding consistently and quickly builds trust.
[RU] Returns and Refund Processor
[RU] Manages the end-to-end returns process from request to resolution.
- [RU] Accepts return requests, validates eligibility against your policy, and generates return labels automatically
- [RU] Guides customers through the return process with status updates at every step
- [RU] Routes exceptions (damaged items, warranty claims, high-value returns) to your team with full context
- [RU] Reports on return rates by product, reason, and customer segment
[RU] The returns workflow that eats hours of your team's day. Standard returns get processed automatically. Exceptions get routed with the context your team needs to resolve them fast.
[RU] A smooth returns process builds loyalty. A painful one drives customers to competitors.
“[RU] Given genAI's potential to transform marketing and customer experience, many brands eagerly experimented with the technology in 2024, but it soon became clear that this transformation is a long game. In 2025, B2C marketing, digital, and CX leaders must build on lessons learned from this experimentation and focus on improving their data infrastructure to gain better customer insights.”
[RU] How Do We Deploy AI Employees for Your Store?
[RU] Deployment follows a four-step process: audit, build, manage, expand. Total timeline is 3-6 weeks from kickoff to live.
[RU] AI Workforce Audit (1-2 weeks)
[RU] We analyze your e-commerce operations: support volume, cart abandonment rates, content gaps, inventory workflows. You get a scored report showing exactly which AI employees will have the highest impact and ROI.
[RU] Build and Deploy (2-4 weeks)
[RU] We build your AI employees with production-grade architecture: deterministic controls for accuracy, LLM flexibility for natural interaction, and deep integration with your e-commerce platform (Shopify, WooCommerce, Magento, custom). Not a chatbot template. A system built for your store.
[RU] Managed Operations
[RU] Your monthly fee covers everything: performance monitoring, behavior tuning, knowledge updates when your catalog or policies change, integration maintenance, edge case resolution. Your AI employees get smarter every month.
[RU] Expand
[RU] Start with one role. Add more as you see results. The 3-employee and 5-employee tier pricing is designed for this growth path.
[RU] How Does a Garni Labs AI Employee Compare?
[RU] An AI employee from Garni Labs costs a fraction of a full-time hire and requires none of the management overhead of a DIY tool.
| [RU] Factor | [RU] Hire a Human | [RU] DIY AI Tool | [RU] Garni Labs AI Employee |
|---|---|---|---|
| [RU] Annual Cost | [RU] $40,000-$55,000 salary (BLS, 2024) | [RU] $200-$500/mo + your time | [RU] $24,000/yr ($2,000/mo) |
| [RU] Availability | [RU] Business hours | [RU] 24/7 (you manage) | [RU] 24/7 (we manage) |
| [RU] Setup Time | [RU] 30-90 day ramp | [RU] Days-weeks (you build) | [RU] 2-4 weeks (we build) |
| [RU] Ongoing Management | [RU] You manage | [RU] You manage | [RU] We manage |
| [RU] Scalability | [RU] Hire more people | [RU] Build more workflows | [RU] Add more AI employees |
| [RU] When It Breaks | [RU] HR / retraining | [RU] Your problem | [RU] Our problem |
[RU] What Does It Cost?
[RU] One AI employee costs $24,000/year. A full-time customer support representative costs $40,000-$55,000/year in salary alone (BLS, 2024), before benefits, training, and turnover.
$5,000
$2,000/mo
[RU] Start with your highest-impact role, typically Customer Support or Cart Recovery.
$12,000
$4,500/mo
[RU] Cover support, recovery, and content: the three biggest operational drains.
$20,000+
$7,500+/mo
[RU] Full coverage across your e-commerce operations.
[RU] AI Workforce Audit. $3,500. [RU] Not sure where to start? We map your highest-impact opportunities in 1-2 weeks. Credits toward your first build.
[RU] It is not about replacing your team. It is about giving them capacity to focus on merchandising, vendor relationships, and the decisions that actually grow revenue. One AI employee works 24/7 and scales with your order volume.
[RU] Your store runs 24/7. Your team should not have to.
[RU] Book an AI Workforce Audit and find out exactly which AI employees will have the highest impact on your e-commerce operations.
[RU] Book Your Audit. $3,500[RU] Related Industries
[RU] AI employees work across multiple business types. If you operate in adjacent industries, see: