How to build custom software for e-commerce operations with AI

The biggest headaches in e-commerce operations exist in the gaps.

The gaps between internal software and marketplaces like Amazon and Shopify are often the most painful, but many other gaps slow down your team and lead to errors and inefficiencies. Inventory management, order fulfillment, and vendor communication are scattered across email, Slack, rigid legacy software, and a million spreadsheets. 

Every gap ends up being filled with manual labor, costing your team time and efficiency, reducing visibility into systems, and introducing the added risk of errors with every copy-and-paste.

E-commerce leaders know AI can help. But how do you deploy it effectively? 

GlideOS is  an AI software development platform for building internal business apps from a spreadsheet, a prompt, or a file, giving teams the ability to collaborate on custom software. Instead of hiring a development team or forcing your workflows to match someone else’s product, you describe the problem, point GlideOS at your existing data, and get a working app you can shape to match how your team actually operates.

This guide will walk you through building your own tools for e-commerce operations: turning the spreadsheets you already have into a real application, automating repetitive parts of order and inventory management, and setting up the guardrails that keep the whole thing secure as your team grows.

Where to start: Identify the biggest operational bottlenecks and opportunities

What kind of apps should you build with GlideOS? For e-commerce operations, you’ll find the biggest benefit from starting from one of the following four categories. 

1. You have spreadsheet-based processes. Some spreadsheets are more efficient as software. If multiple people are touching the same spreadsheet (build an app with forms and buttons), you need to access the spreadsheet on mobile (build a mobile app), or you want to restrict who can see or edit data (build an app with role-based visibility, permissions, and login security), you should build an app with that spreadsheet. 
2. Your process happens on location. If you have a team working on a warehouse floor, in a retail store, or while in transit between locations, they need an app that works on mobile devices. Build tools that work on tablets to help your team check in and pull inventory, or a smartphone app that helps logistics teams with deliveries.
3. You want to add AI to your process. GlideOS lets you create apps with AI features built-in. Instead of copy-and-pasting answers from LLMs, your AI works right within the process. You can transcribe voice notes, prioritize tickets, analyze data, or even generate product descriptions. Working within Glide also means your team can use AI with built-in security assurances, so you don’t risk exposing your business data.
4. You need to analyze real-time data from many sources. Leadership needs real-time data collected across your operations to make accurate strategic decisions and identify problems before they become critical. Build leadership dashboards that can pull data from across your business without delays. Leaders get visual data dashboards they can filter and customize in real time. 

How to build custom e-com software step-by-step

GlideOS uses a conversational AI interface that lets anyone on your team build an app quickly and easily. Team members can build their own tools, IT can spin up useful software without taking too much time away from other work, and team leads can build real operational systems for their departments. This is what the build process looks like.

Step 1: Start from a spreadsheet or a prompt

GlideOS builds apps starting from a spreadsheet, a prompt, or a file.

The fastest way to start is with an existing spreadsheet. Simply drag and drop your spreadsheet into GlideOS. The AI will analyze your spreadsheet in depth, understanding your process from its data, formulas, and design, and build an interface on top of it. It’s okay if the spreadsheet isn’t perfect. Glide will normalize the data and convert it into a database for you.

If you’re starting with a prompt, describe the problem you’re facing in plain language. You can also upload images to guide the design of your interface. GlideOS uses that description to scaffold a working interface, which gives you something concrete to react to instead of a blank canvas.

Next, iterate on your design through chat. You can ask the AI to adjust the layout, add or remove views, or change which fields are visible to which teams. 

Step 2: Control access and protect data

As the app moves from prototype to something the team relies on daily, access control matters. Not everyone needs to see everything. Warehouse staff might need inventory counts without visibility into vendor pricing, while finance needs the opposite. This also applies to sensitive customer or business data pulled in from your storefront or CRM. You might also want to give some employees view-only access to data without letting them edit it, or give vendors forms to submit data without seeing any of the private information behind it.

You can set roles and permissions by team or function. Identify the key stakeholders in your app and specify which roles should be able to access which data. You can also specify who can log into your app. You might want some apps to be publicly accessible, like a marketing microsite or a public data collection form. Others you can restrict to certain emails. 

Step 3: Roll out your app

When your app is ready, hit publish. It’s time to distribute it to your users. To share an app you can email a link, bookmark the URL on a Slack channel, or even print out a QR code that users can scan (for instance, from the clock-in area of a warehouse). Apps can be pinned to the user’s homescreen, so they behave like a native app.

Your team can access all your apps instantly from their GlideOS team dashboard and use SSO, so there’s no need to log into multiple tools daily. 

Step 4: Gather feedback, iterate, and scale your app

The first real test of the app is the team member who owns the problem it was built to solve. Get their feedback quickly, and expect to adjust views, fields, and workflows based on how the app performs in actual use rather than how it looked in the prototype. Changes can be made very quickly simply by requesting them in the same chat interface where you built the tool.

Treat the app as something that evolves alongside the operation, not a finished deliverable. E-commerce operations change as the business grows, new channels open, and vendor relationships shift, and the tools supporting those operations should be able to change just as easily.

What to build next

A single app that solves one problem well is a good outcome, but it’s also the first piece of something larger. The real value of this approach shows up once you have several connected apps working together: inventory tracking feeding into fulfillment, fulfillment status informing customer service, vendor performance data feeding into purchasing decisions.

Many businesses will build a stack of connected apps. For example, a mobile app for fulfillment teams, an office app for the managers coordinating shipping, and a leadership dashboard for executives to get top-down information on how their operations are running. Rather than treating each new operational pain point as a separate project, think of every app you build as a component in a growing system. 

A few natural next steps once the first app is live:

• Connect the apps you’ve built. GlideOS apps can all operate off the same shared data. Even if inventory and fulfillment apps are built separately, they’ll still share the same real-time information.
• Extend into adjacent problems. A vendor management app pairs naturally with a purchasing or procurement app, since both draw on similar data and similar approval logic.
• Layer in reporting. Once operational data is centralized across a few apps, a reporting or dashboard view becomes far easier to build and far more useful than it would have been from scattered spreadsheets.
• Add AI agents as patterns emerge. Once you see which manual tasks come up repeatedly across apps, drafting communications, extracting data from documents, and categorizing incoming information, those are good candidates to hand off to an agent.

The teams that get the most out of this approach aren’t the ones who build one clever app and stop. They’re the ones who keep going, using each new app as an opportunity to close another gap between the storefront and the operation running behind it.

Run an airtight e-tail operation with custom systems

E-commerce operations rarely fail because of the storefront. They slow down in the space behind it, in the spreadsheets, email threads, and disconnected tools that hold inventory, fulfillment, and vendor management together. GlideOS gives operations teams a way to close that gap without months of development time or a rigid off-the-shelf tool that never quite fits.

Start with one real problem, build something your team can actually use, and treat it as the beginning of a system rather than a one-off project. That’s where the compounding value of this approach shows up, not in any single app, but in the operational system it becomes over time.