Retailer AI: AI tools inside POS software, built only for local independent retailers
Updated: August 31, 2026.
Retailer AI is a collection of AI tools inside the Tower Systems POS software, serving the front counter through to the back office. The tools were first released in 2022 and have been enhanced regularly since.
They were built for local independent specialty retailers, whose needs sit outside those of big business retail.
Our goal is to provide you with tools that genuinely save time and that help you make better quality business decisions.
What it saves, in hours and dollars
A typical business using Retailer AI saves between five and eight labour hours a week. At a $35 an hour pay rate that is between $175 and $280 a week, or between $9,100 and $14,560 a year.
Some save more.
Shane from Pets R Us at Raymond Terrace in New South Wales reports saving ten hours a week. At the same rate that is $18,200 a year.
A rural supply business in Queensland reports saving eight hours each week.
A newsagency in Victoria found more than $10,000 in dead stock through Retailer AI, and immediately understood what had to be cleared to reclaim the space and the capital.
Those are hours off the back office and money back on the floor. This is the whole argument, and everything below explains how it happens.
The easiest saving: supplier invoices
The fastest return comes from the supplier invoice import tools.
A PDF or other format invoice from any supplier is converted into an import-ready electronic invoice. No typing, no transcription errors, no evening spent at a keyboard after a delivery.
These tools have been tested with more than 500 invoices across a wide range of channels, including garden centres, jewellers, pet shops, bookshops, toy shops, bike shops, firearms dealers, fishing and outdoors shops, music shops, newsagents, produce businesses and gift shops.
Five hundred real invoices from real suppliers is a different claim from a demonstration on a tidy sample.
What Retailer AI does today
Every item here is live, not planned.
Supplier invoices, loaded. PDF and other format invoices from any supplier, converted to an import-ready electronic invoice.
Reordering, prepared for approval. Inventory and sales tracked in the background, with a replenishment order generated and put up for approval. Out of stock costs revenue, and this is how that gets caught early.
Insights on any report. Run a report, click for AI insights, and get action-ready reading of what the report actually says. This is the facility that changes how reports are used.
An insights dashboard for the shop floor. Built so counter staff make better use of quiet time and serve customers better.
Product names that can be found. Generated to maximise search opportunities.
Product descriptions that can be found. Generated for meaning and for search, rather than reused from a supplier blurb every competitor is also using.
Local price comparison. Comparing prices outside the business, to reveal profit and competitive opportunities.
Blog posts for products. Publishing-ready posts generated for products managed in the POS software, and published on request.
This is a selection rather than the full list.
Coming soon in 2026: embedded chat
Trials began in our office in August 2026 of freshly developed embedded chat within Retailer AI.
It exists to answer a specific complaint. Retailers tell us of report exhaustion, where the reports are all there and the time to read them is not. Embedded chat lets a business ask a question of its own data and get an answer, rather than working out which report might contain it.
The AI account belongs to the retailer
This is the part most worth reading twice.
The retailer owns their own AI account. That means complete control over spend, visible at all times, with no cap set by a software company.
Tower Systems does not treat AI spend as a margin opportunity. There is no mark-up on the AI usage and no incentive for the software to consume more of it than the work requires.
Ask any other POS vendor pitching AI whether the same is true of theirs.
Built with Gemini, Claude and ChatGPT
Retailer AI leverages Google Gemini, Anthropic Claude and ChatGPT, bringing them inside the POS software rather than leaving a retailer to copy and paste between systems.
Using more than one model is deliberate. Different work suits different engines, and being tied to a single provider is a risk in a field moving this quickly.
Built by retailers, steered by retailers
The AI work started because Tower Systems people owned shops themselves and wanted efficiency in those shops. Research, experimentation and development followed from that, years before AI became a marketing word.
Development priorities are decided by customer votes through Software Ideas. Retailers are now bringing forward the ideas that shape what comes next, which is why the tools continue to look like retail work rather than technology for its own sake.
What separates this from the AI being pitched elsewhere
It is easy to be dazzled, and easy to be confused, by the volume of AI noise. Away from that noise, engaged businesses are quietly using AI to save time, cut cost and make better decisions sooner.
Three things separate Retailer AI.
It was made solely for local independent specialty retailers, and continues to be evolved for them alone.
It sits inside the POS software, working on the retailer's own data, rather than beside it.
The retailer owns the AI account and the spend.
See it before believing it
When comparing POS software on AI, ask to see it working. Too often there is a distance between the marketing pitch and what happens on screen.
A demonstration of the Retailer AI tools is available any time. Bring a supplier invoice and a report from the current system, and watch both handled.
Book a demo or, email sales@towersystems.com.au. Phone 1300 662 957 in Australia, 0800 444 367 in New Zealand.
FAQ
- Who pays for the AI usage?
The retailer owns their AI account and controls the spend directly. Tower Systems does not mark up AI usage. - Which AI models are used?
Google Gemini, Anthropic Claude and ChatGPT. - How much time does it actually save?
A typical business saves between five and eight labour hours a week. Some report more. Shane from Pets R Us at Raymond Terrace reports ten hours a week. - Will it read invoices from my suppliers?
The invoice tools have been tested with more than 500 invoices from suppliers across many retail channels. Bring an invoice to a demonstration and see it handled. - Does it reorder stock automatically?
It tracks inventory and sales and prepares a replenishment order for approval. The decision stays with the retailer. - Can it explain a report?
Yes. Run a report and click for AI insights for action-ready reading of it. - Can it write product descriptions and blog posts?
Yes, both, written for search as well as for customers, and blog posts can be published on request. - When were the AI tools first released?
2022, with regular enhancement since. - What is embedded chat?
A facility in trial since August 2026 that allows a retailer to ask questions of their own business data instead of hunting through reports. - Is my business data used to train these AI models?
You control this through your own AI plan settings. - Do I need to know how to write prompts?
No. The tools are built into the workflow, so the work is done from inside the software rather than from a blank prompt box.
