Five AI Tools Worth Adding to Your Retail Stack (And What Each One Actually Does)

You don’t need a stack of AI subscriptions. You need to know which five actually earn their place, and what job each one is there to do.

Every retail leader I talk to asks some version of the same question: which AI tool should we actually be using?

It’s a fair question. Keeping up with every new release is close to a full-time job, and you’ve already got one of those.

So instead of another roundup of everything on the market, here’s the shortlist I’d put in front of a retail business right now. Five tools, five different jobs, and what I’d actually do with each one.

“I’m not loyal to a model. I’m interested in what helps us do better work.”

Don’t buy all five at once. Read through them, then pick whichever one solves the job that’s costing you the most hours right now.

The Shortlist

Five Tools, Five Different Jobs

01  ·  Your Core

Claude Handles the Core of the Business

Claude is still my default for the core of a business. Anthropic’s stance on AI safety and security carries real weight for me, especially once AI starts touching actual business data. That’s a personal call, and the plan you’re on, the permissions you set and how you configure it still matter whichever platform you land on.

Campaign briefs, product copy, customer insights, trading plans. Set it up once with your brand guidelines, customer profiles and business context inside a Project, so you’re not re-explaining the business every Monday morning.

Cowork is worth knowing about too. Think of it as a way to hand off a longer job across multiple files at once: reconciling budgets against actuals, digging into why a margin moved, pulling together a summary for management. It covers ground that might otherwise send you looking for a separate finance-specific AI tool.

Connect the systems you actually use through Claude’s MCP-based connectors, so it can work from approved data instead of what you type in manually. What it can read or change depends entirely on the connector and the permissions behind it.

02  ·  Everyday Work and Images

ChatGPT Is Earning More of My Time

I’ve been leaning on ChatGPT a lot more lately, testing OpenAI’s newest model along the way, and it’s genuinely impressive. I’m not loyal to any one model. I care about whichever one helps us do better work.

For quick creative jobs, ChatGPT’s newest image tool is worth trying: a new product setting, a background swap, a campaign concept. We’ve tested how well it holds the actual product steady while everything around it changes, and it holds up well.

Try asking it to regenerate the background of a product photo while keeping the product itself untouched, then have it score the new version against the original for consistency.

03  ·  Video

Runway for Moving Product Creative

Start from an approved product image and test a short clip for social or paid media. Keep the movement simple, and check carefully that the product itself hasn’t shifted or distorted along the way.

For anything where you’re presenting on camera, or a script needs translating into another language, that’s a different job. I’d reach for HeyGen instead.

04  ·  Market and Wholesale Research

Manus for the Research Nobody Has Time For

Scoping a new market, building a stockist list, mapping a competitor set that would take someone days to work through by hand. That’s the kind of research I’d hand to Manus.

Ask it something like: find stockists in a target market that fit the brand, explain the fit, show what else they carry, and include only publicly listed contact details and sources. Verify the shortlist yourself before outreach. Don’t let it guess at emails it can’t find.

05  ·  Build Around Your Business

Replit for Building What Doesn’t Exist Yet

Sometimes what you need doesn’t come as a subscription. You have to build it.

We used Replit to prototype a shopping-agent demo for a client, exploring what happens when customers can ask an assistant to find and compare products for them, instead of doing all the searching themselves.

That’s a prototype, not a plug-and-play store launch. Live data, checkout connections, permissions and proper testing are still the bulk of the work before something like that goes live.

Disclosure: the Runway, Manus and Replit links above are referral links. In line with Australian Consumer Law requirements on affiliate disclosure, we’re letting you know that Tribe Gen AI may earn a commission if you sign up through them, at no extra cost to you.

Choosing Where to Start

Pick the Job, Not the Tool

Don’t buy all five. Pick whichever job is eating the most time or holding the business back, and test it properly. Is the output actually better? Is it faster? Does anyone on the team use what comes out the other end? Answer those honestly before you decide what comes next.

If you’re not sure which of these would actually move the needle for your business, that’s worth a proper conversation before you add another subscription. Get in touch and we’ll work out where your AI stack should start.