Full Stack AI Development

One of the systems I built for an oil company is a good example of what "full stack with AI" actually looks like in practice, not just as a phrase on a services page. It started as a custom ERP covering every operation an oil company actually runs on — inventory, orders, procurement, workflow, internal notifications — and grew from there into a full automation layer sitting on top of that data.

The ecommerce store sits on top of the same ERP rather than next to it, so an order placed on the storefront lands directly in the ERP's order queue instead of needing someone to re-enter it. From there, the workflow system takes over automatically — order confirmations, internal approval steps, and stock-level checks all fire without anyone touching the order by hand, and the email system sends the right notification to the right person at each step, customer or internal team, instead of someone drafting and sending it manually.

The AI piece is an internal chatbot layered on the ERP's real data — someone on the team can ask it what's low on stock, how many units of a product are currently in or out, or what needs reordering, and get a real answer pulled straight from the actual inventory numbers instead of digging through a dashboard or asking around. Between the automated workflow, the automated emails, and the chatbot answering questions on demand, most of what used to be someone manually checking, deciding, and following up now happens on its own.