Services AI
AI Agents for Shopify
Custom AI agents that handle customer support, order processing, and product research automatically - so your team can focus on growth.
What’s included
Customer Support AI
An intelligent support agent trained on your product catalog, policies, and FAQs. It resolves order enquiries, handles returns and exchanges, and escalates edge cases to your team, all in your brand voice, around the clock.
Order Management AI
An automated agent that monitors your order queue in real time, flags fulfillment exceptions, contacts suppliers on delays, and updates customers proactively, before they need to ask.
Product Research AI
An agent that continuously scans market signals, competitor listings, and trend data to surface product opportunities matched to your niche, pricing strategy, and margins, delivered as a weekly report.
Workflow Automation
Custom agents wired into your existing tools: Shopify, Klaviyo, Gorgias, Slack, and more. We map your highest-volume manual tasks and replace each with a documented, monitored automation.
The service
What it is, and why it matters.
AI agents are purpose-built software programs that autonomously handle specific, repeatable tasks inside your Shopify store without human intervention. Where traditional automation runs fixed scripts, agents can reason, make decisions, and adapt based on context. We design, build, and deploy agents trained on your store data, brand voice, and operational rules, capable of resolving customer enquiries, triaging order exceptions, researching trending products, and routing internal tasks without anyone picking up a keyboard. The result is a store that operates around the clock, handles routine complexity at scale, and frees your team to focus on strategic work rather than operational noise.
Why it matters for your store
Every hour your team spends on repetitive tasks is an hour not spent on brand-building, supplier relationships, or growth strategy. AI agents do not just save time, they remove the ceiling on how many orders, enquiries, and product lines your store can handle without proportional headcount growth. Brands that deploy purpose-built AI agents today are establishing an operational advantage that compounds over time: lower cost per resolution, faster response rates, and richer data on customer behavior. Waiting until AI becomes mainstream in your niche means competing against brands that have already optimized their operations around it.
How we work
How we do it.
- Step 01
Workflow Audit
We map every repetitive, rules-based task in your store operations: support tickets by type, order exception frequency, manual research time, internal routing delays. This tells us exactly where agents will deliver the highest ROI.
- Step 02
Agent Design
We design the logic, decision trees, escalation rules, and tone guidelines for each agent. You review and approve every behavioral specification before a line of code is written.
- Step 03
Build and Training
We build each agent, connect it to your Shopify store and third-party tools, and train it on your product data, order history, policies, and brand language. Each agent is stress-tested against edge cases before deployment.
- Step 04
Deployment and Monitoring
Agents go live in a supervised phase where we monitor every action, measure accuracy, and refine the logic based on real interactions. You have full visibility into what each agent is doing and why.
- Step 05
Optimize and Expand
Once live agents are stable, we identify new automation opportunities and expand coverage. As your store grows, your agent infrastructure grows with it, without adding to your headcount.
Questions
Common questions.
What is the difference between AI agents and AI workflows?
Workflows are fixed automations: trigger, branches, end. Agents make decisions with context. A workflow can email a customer when an order is late. An agent can read the customer's previous tickets, check the supplier delay, write a custom apology in your brand voice, and offer the right resolution. Agents are slower and more expensive to build but handle complexity that workflows cannot.
Will the AI agent actually sound like our brand?
Yes. Each agent is trained on a brand-voice document, banned phrases, example responses, and tone-of-voice rules. We test against 100+ real historical tickets before going live to verify the voice lands correctly.
What happens when the agent does not know how to handle something?
Every agent has a confidence threshold. Low-confidence interactions go to a human review queue with full context attached, rather than autopublishing. You stay in control of edge cases; humans handle judgment, the agent handles volume.
How much does an AI agent deployment cost to run per month?
Model costs depend on volume, complexity and model choice. We forecast them during scoping, so you see the monthly figure before deployment, and add budget alerts.
Which AI models do you use?
Claude (Anthropic) for judgment-heavy and brand-voice work. OpenAI for vision, image generation, and structured outputs. Open-source models (Llama, Mistral) for high-volume cheap classification. Model choice is per task; we are not locked to one vendor.
Will my customer data be used to train AI models?
No. We use enterprise API endpoints for Anthropic and OpenAI with data usage opted out. No training, no logging beyond what is required to deliver the service. Your data stays your data.
Not quite what you need?
What store owners say
4.9 from 17 reviews on FiverrAlwaz manages our Shopify store as a virtual assistant. I highly recommend him to anyone seeking support within his areas of expertise, he consistently completes tasks efficiently and effectively.
Memduh G. Store founder and CEO · Upwork
Smart suggestions and very responsive. For the first time I am confident my Shopify store is in the right hands.
Rex M. United States · Fiverr, repeat client
Alwaz is efficient, reliable, and proactive. He made our store operations smooth and stress-free. Highly recommended.
Carey N. United States · Fiverr
Talk it through on a 30-minute call.
Book a 30-minute call to discuss which AI agents would have the biggest impact on your store and what a deployment would look like.
