Inventory & stock ordering
AI that forecasts demand per SKU, accounts for supplier lead times and seasonality, and drafts purchase orders for your approval, so you stop running out of bestsellers and stop paying for dead stock.
We automate the work behind your online store: stock ordering, fulfillment, performance marketing, customer service and reporting. AI agents connected to your store, ERP, warehouse and ad accounts, from first audit to production.
AI services for ecommerce take the repetitive work off the teams running an online business: ordering stock, shipping orders, tuning campaigns, answering customers and closing the books. We build AI agents that do that work inside the systems you already use, with your team approving what matters.
AI that forecasts demand per SKU, accounts for supplier lead times and seasonality, and drafts purchase orders for your approval, so you stop running out of bestsellers and stop paying for dead stock.
Orders routed to the right warehouse and carrier, exceptions caught before the customer notices, and returns processed without a person touching each one.
Campaigns that adjust themselves: budgets move to what converts, product feeds improve, and underperforming ads get flagged, within limits you set.
Agents that answer “where is my order”, process returns and changes, and hand off to a human with full context when it matters.
Margin, cash and performance answered in plain language, with anomalies flagged the day they happen instead of at month end.
Senior AI engineers embedded in your team, on your systems, until the agents run in production. For the workflows unique to your business, from B2B quotes to supplier communication.
Hire forward deployed AI engineersWe pick the right model for each job and switch when a better one ships, so you are never locked into one provider.
xAI

Tools & platforms
HiggsfieldIt reads your systems, acts in them, and works alongside your team and other agents, on Adobe Commerce, Shopify or a custom stack.
Pulls live data from your store, ERP, warehouse, ad accounts and helpdesk, so every decision starts from the full picture.
Orders, stock & customers
ERP & PIM
WMS & 3PL
Google Ads & Meta
Analytics & data warehouses
CRM & helpdesk
Does the work in the systems themselves, within the permissions you give it.
Drafts purchase orders
Updates stock & prices
Reroutes delayed orders
Adjusts ad budgets & feeds
Processes returns & refunds
Updates product content
Works where your team already is, asks before anything that matters, and gets better from every correction.
Approvals in Slack or Teams
Escalates exceptions with context
Daily summaries
Answers in plain language
Customer email & chat
Learns from corrections
One agent does the work, another reviews it, and both learn from every outcome, so quality goes up instead of drifting.
Reviewer agents check every output
Self-learning from outcomes
Confidence scoring & escalation
Orchestrated multi-agent workflows
Shared context over MCP
Full audit trail
Our SCALE method: Strategy, Connect, Automate, Launch, Evolve. Stop after any step with something useful in hand.
We find the processes where AI saves the most, each with a business case.
Agents get access to the data and systems the process runs on.
One process automated on real data, with your team approving.
Live in production, with guardrails, monitoring and testing.
Measured, tuned, and extended to the next process.

Magebit developed a custom AI deal evaluator that helps us make better decisions.

Sagar Chandna
Partner & CTO
There is no challenge for which they can’t find a solution.

Will Aubuchon
Chief Executive Officer

Appreciate everyone's hard work and effort in moving us forward!

Alex Brynou
Director of Systems Architecture
Every agent we build for clients follows patterns we first proved on Magebit’s own operations. I hold a credential in High-Dimensional Data Analysis & Machine Learning from Harvard University, and I personally oversee every AI engagement we take, from the first audit to production.
Reviewed by Arturs Kruze
Co-founder of Magebit, Forbes 30 Under 30
If you can’t find the answer you’re looking for, feel free to reach out to us. We’re here to help!
AI is used in ecommerce to automate the work behind the store: forecasting demand and ordering stock, routing orders, optimizing ad spend, answering customers and producing product content. The biggest gains come from AI agents connected to your store, ERP, warehouse and ad accounts, not from standalone chatbots.
An AI agent reads data from your systems, takes actions in them, such as drafting a purchase order or processing a return, and asks your team for approval when it matters. Most ecommerce companies start with one agent on a repetitive process, then add agents that hand work to each other and check each other’s output.
Yes, AI can forecast demand per SKU from sales history, seasonality, promotions and supplier lead times, and draft purchase orders before stock runs out. Your buyers approve the orders, and over time the system only flags the ones that fall outside normal ranges.
Start with an AI opportunity audit that finds the processes where AI saves the most, then automate one of them on real data before scaling. Our SCALE method (Strategy, Connect, Automate, Launch, Evolve) takes each process to production without replacing the systems you already run.
Yes, we build AI agents that work inside Adobe Commerce (Magento) and Shopify stores, connected to orders, stock, customers and the ERP behind them. For Magento there is also Magebit Build, our agentic coding product that ships storefront changes without waiting in the development queue.
We look at how orders, stock, marketing and service run today, and where the hours go.
Our AI engineers highlight the processes with the biggest payoff, completely free of charge.
You receive a personalized proposal with a scope, a timeline and the expected impact.
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