AI Automation for Retail & E-Commerce

Where Retail Operations Bleed Margin

A modern retailer or DTC brand runs across Shopify or BigCommerce, a warehouse system, a helpdesk, ad platforms, and a CRM. The friction lives in the gaps between them:

• Manual inventory updates and out-of-stock surprises
• Generic, low-converting product recommendations
• Static pricing that ignores demand and competitors
• Customer service backlogs around launches and peak season
• Fraudulent orders and chargebacks that slip through
• Repetitive marketing tasks: emails, SMS, ad copy, product feeds

How We Help Retail & E-Commerce Brands

We plug AI workflows into Shopify, BigCommerce, Klaviyo, Zendesk, Gorgias, and your warehouse / 3PL. Typical projects include:

• Smart inventory automation: reorder points calculated from real sell-through, with purchase orders pre-drafted for review.
• Personalised product recommendations: on-site and in-email, trained on your catalogue and shopper behaviour.
• Dynamic pricing & promotion: rules-plus-AI engine that adjusts pricing within guardrails based on demand, stock, and competitors.
• AI customer service: agents handling order status, returns, sizing, and product questions 24/7; escalating cleanly to humans when needed.
• Fraud & chargeback monitoring: AI scoring of incoming orders and an automated review queue for anything risky.
• Marketing automation: lifecycle emails, abandoned-cart flows, and ad-creative variants generated and shipped on schedule.

Built Around Your Stack

We don't force a new platform on you. Every build connects to the tools your team already runs, Shopify or BigCommerce on the front end, Klaviyo / Mailchimp for lifecycle, a helpdesk for support, and your finance system on the back end, so the team keeps the workflows they know.

Typical Results

• 15 to 30% lift in conversion via better recommendations and on-site experience
• 40 to 60% of customer service tickets fully resolved by AI
• Stock-outs and overstock both reduced via smarter reorder logic
• Chargeback rate dropped through real-time fraud scoring
• Marketing team shipping more campaigns with the same headcount