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Agents, not dashboards.

GLBAI Solutions builds agentic AI tools and services. A dashboard reports what happened. An agent reads the same record and answers, proposes or acts on it, inside bounds a person sets.

  • AI Reporting

    Ask for a number in plain words. It works out the answer and shows where each figure came from.

    Data & Analytics

  • Demand Forecasting

    It reads past sales, seasons and offers, then gives a likely range per shop.

    Predictive AI

  • Inventory Management

    It weighs how fast stock sells against the wait to restock, then writes the order.

    Operations AI

  • Recommendation Engine

    Most of what you sell, nobody ever sees. It puts the likeliest products where you choose.

    Personalization

  • Customer Segmentation

    It notices which customers buy the same way, then names and counts each group.

    Analytics

  • Smart Site Search

    You lose people on the no-results page. It matches meaning to what you sell.

    Search AI

  • AI Project Automation

    It breaks a written brief into tasks and puts them in order, ready to edit.

    Automation

  • AI Automation Testing

    You write down what should happen. It turns your words into checks, and says what broke.

    Quality Eng.

  • Dynamic Pricing

    Your prices sit still while stock, cost and demand move. It moves them for you, inside limits you set.

    Revenue AI

  • Personalised Ads

    Every visitor sees the same ad. It picks which of your ads each one sees.

    Advertising AI

  • Facial Recognition

    Badges get lost and door codes get shared. It opens the stockroom for the people you enrolled.

    Access Control

  • Operations AI

    It reviews the business overnight and opens with the items that need a decision — each one with evidence, a dollar impact, and a recommendation.

    Store Operations

Our practices

Each block states what it does, what a person sets, and what it will not do.

AI Reporting

Data & Analytics

Ask for a number in plain words. It works out the answer and shows where each figure came from.

Ask any question about your business in plain language, and it writes the report for you. Type "Top five shops" and the answer comes back as a chart you can read at a glance — switchable between a bar, a pie or a plain table — with the source of every figure underneath it. It reads your data and never changes it, and you agree what a word like revenue means before it answers.

Goes in
Top five shops.
Comes back
Five shops by sales, and where each figure came from.
How it connects
  1. ReadsYour business data — read only, never changed
  2. AI ReportingWorks inWherever your team asks questions of the business, in plain words
  3. ReturnsA bar, pie or table, with the source of every figure

Limit. It will not make up a meaning nobody agreed. If it cannot answer, it says so.

Ask us about AI Reporting

Demonstration

Demand Forecasting

Predictive AI

It reads past sales, seasons and offers, then gives a likely range per shop.

Ask it how much to order, and it answers product by product and shop by shop. Ask "How many coats next month?" and it reads what has sold before along with the season and any offer you have planned, then answers with a range rather than a single number — how wide the range is tells you how sure it is. You pick the products and how far ahead to look.

Goes in
How many coats next month?
Comes back
A likely range per shop, beside last year's sales.
How it connects
  1. ReadsPast sales, the season and the offers you have planned
  2. Demand ForecastingWorks inYour ordering, product by product and shop by shop
  3. ReturnsA likely range per shop, beside last year's sales

Limit. It will not quote an accuracy score. That number depends on how loosely you count.

Ask us about Demand Forecasting

Demonstration

Inventory Management

Operations AI

It weighs how fast stock sells against the wait to restock, then writes the order.

It watches how fast each product sells and how long restocking takes, then tells you when to order again and how much. Ask "What should I reorder?" and it writes the order for you — sixty of them, ready to go. You are the one who places it. You set how often running out is acceptable, and it is only ever as good as your last stock count.

Goes in
What should I reorder?
Comes back
A written order for sixty. You place it.
How it connects
  1. ReadsHow fast each product sells, how long restocking takes, your last stock count
  2. Inventory ManagementWorks inYour reordering
  3. ReturnsA written order, ready for you to place

Limit. It writes the order. You place it.

Ask us about Inventory Management

Demonstration

Recommendation Engine

Personalization

Most of what you sell, nobody ever sees. It puts the likeliest products where you choose.

It puts the right products in front of each visitor, in the places on your page that you choose. You get six kinds of recommendation: Similar Items shows more of what is like the product on screen; Discover more options and Explore More Items each add another set to look through; Customers also viewed shows what other visitors looked at as well; Related products shows what is related to it; and Picks For You is built for one visitor instead of the same row for everyone.

Goes in
What goes with a tent?
Comes back
Pegs, a mat, a lamp. Three things you already stock.

Comes in 6 kinds

Similar Items
The same kind of thing.
Discover more options
A few other options worth a look.
Customers also viewed
What other shoppers looked at as well.
Explore More Items
More to look through.
Picks For You
Built for one shopper, not for everyone.
Related products
Other products the shop ties to this one.
How it connects
  1. ReadsWhat you sell, and what visitors have already looked at
  2. Recommendation EngineWorks inThe places on your pages that you choose
  3. ReturnsSix kinds of product row, from Similar Items to Picks For You

Limit. It can only show what you already sell. A new product and a first-time visitor start with nothing to go on.

Ask us about Recommendation Engine

Demonstration

Customer Segmentation

Analytics

It notices which customers buy the same way, then names and counts each group.

It sorts your customers into groups you can actually use — who buys often, who spends the most, who has quietly stopped coming back. Ask it to group them and you get six groups, each one named and counted, and it will point out that the biggest group has gone quiet. You decide how many groups are useful and what you do with them. It can tell you that a group has gone quiet. It cannot tell you why.

Goes in
Group my customers.
Comes back
Six groups, named and counted. The biggest has gone quiet.
How it connects
  1. ReadsHow your customers buy — how often, how much, and who has stopped
  2. Customer SegmentationWorks inYour customers’ purchase history
  3. ReturnsNamed, counted groups — and which one has gone quiet

Limit. It shows you the groups. It cannot tell you why people fall into them.

Ask us about Customer Segmentation

Demonstration

AI Project Automation

Automation

It breaks a written brief into tasks and puts them in order, ready to edit.

It turns a brief into a working plan. Hand it the brief for a checkout rebuild and it writes the task list in the right order, showing what has to be finished before the next thing can start. It leaves the dates and the names blank, because it does not know who is free — you fill those in. It writes the plan; it does not run the project.

Goes in
Plan the checkout rebuild.
Comes back
Tasks in order, what blocks what. Dates and names left blank.
How it connects
  1. ReadsA written brief
  2. AI Project AutomationWorks inYour project planning
  3. ReturnsTasks in order and what blocks what — dates and names left to you

Limit. It drafts a plan. It does not manage a project.

Ask us about AI Project Automation

Demonstration

AI Automation Testing

Quality Eng.

You write down what should happen. It turns your words into checks, and says what broke.

It checks that your site still works after every change. Write down in plain words what should happen — adding an item updates the basket total — and it turns that into a test it runs for you every time. Ask "What broke today?" and it tells you what broke, then offers a fix. You decide whether to use it. It never puts one live itself.

Goes in
What broke today?
Comes back
Today it did not. What broke, and a fix to approve.
How it connects
  1. ReadsWhat should happen, written in plain words
  2. AI Automation TestingWorks inYour site, checked after every change
  3. ReturnsWhat broke, and a fix for you to approve

Limit. It suggests a fix. It never puts one live itself.

Ask us about AI Automation Testing

Demonstration

Dynamic Pricing

Revenue AI

Your prices sit still while stock, cost and demand move. It moves them for you, inside limits you set.

It moves your prices as stock, cost, season and demand change, and it keeps every move inside limits you set. You set the floor, the ceiling and the rules it works within; it moves the price between them and writes down every change and what prompted it. Everyone sees the same price. Nothing about the individual shopper is an input.

Goes in
Price this within my limits.
Comes back
A price moved between your floor and ceiling, and the reason written down.
How it connects
  1. ReadsStock, cost, season and demand — never anything about the individual shopper
  2. Dynamic PricingWorks inYour prices, between the floor and ceiling you set
  3. ReturnsA moved price, and the reason written down

Limit. It moves a price inside bounds. It does not set the bounds.

Ask us about Dynamic Pricing

Demonstration

Personalised Ads

Advertising AI

Every visitor sees the same ad. It picks which of your ads each one sees.

It decides which of your ads a visitor sees, out of the ones you have already made. Someone who has spent the visit looking at coats sees the coat ad rather than the one for garden furniture. It uses what people did on your own site — what they looked at, what they bought — and it never buys data about them from anywhere else. You supply the ads and set where each one is allowed to run.

Goes in
Which ad for this visitor?
Comes back
The one closest to what they have been looking at.
How it connects
  1. ReadsWhat visitors did on your own site — never data bought from elsewhere
  2. Personalised AdsWorks inThe places you allow each of your ads to run
  3. ReturnsWhich of your ads each visitor sees

Limit. It can only use what you already hold about them. A first-time visitor sees your default.

Ask us about Personalised Ads

Demonstration

Facial Recognition

Access Control

Badges get lost and door codes get shared. It opens the stockroom for the people you enrolled.

It lets your own staff into the stockroom or the till area without a badge or a door code. You enrol the people who need access and they agree to it; after that the door opens when they arrive, and it logs who went in and when. Anyone you have not enrolled is simply not recognised. It never looks at customers — only the people you put on the list.

Goes in
Open the stockroom.
Comes back
Open, for someone you enrolled. Logged.
How it connects
  1. ReadsFaces at the door, matched only against staff you enrolled with their consent
  2. Facial RecognitionWorks inThe stockroom or till-area door
  3. ReturnsThe door opens, and a log of who went in and when

Limit. Only people you have enrolled, who agreed to it. It does not recognise customers.

Ask us about Facial Recognition

Demonstration

Operations AI

Store Operations

It reviews the business overnight and opens with the items that need a decision — each one with evidence, a dollar impact, and a recommendation.

An agentic operations layer for retail. Every night it reads across a store's inventory, fulfillment, purchasing, workforce, loss-prevention, customer, and point-of-sale activity, and assembles a single ranked briefing — critical items first — ready before the doors open. Each card carries the evidence behind it, a quantified impact, and, where the system has earned the trust, a one-click fix a person still approves. It reads the store's point-of-sale system through one dedicated connection and never writes to it — the correction always happens in the POS itself, or through a drafted, human-approved change.

Goes in
A night of sales, receiving, and inventory activity across every store.
Comes back
The count of products showing negative on-hand inventory and their cost exposure, ranked Critical, with the exact records behind the number and a link into the POS screen where it's fixed.
Goes in
A purchase order received against the vendor invoice.
Comes back
The count of PO lines received more than ordered and the value of the unordered merchandise, flagged for review before it posts as shrink.
Goes in
The store calendar and the POS tax configuration.
Comes back
A drafted tax-holiday schedule, days ahead of the date it takes effect, queued for a person to approve — never applied on its own.
How it connects
  1. ReadsThe store's inventory, fulfillment, purchasing, workforce, loss-prevention, customer and point-of-sale activity
  2. Operations AIWorks inBeside your point-of-sale system, through one read-only connection
  3. ReturnsA ranked briefing before the doors open, with evidence and drafted fixes

Limit. It never writes to the point-of-sale system — only one dedicated, read-only connection touches live store data. A finding is labeled LIVE only when it comes from a real query against that data; anything else is labeled DEMO and never presented as real. If the data behind a number is stale, the briefing says so on the card, not in fine print.

Ask us about Operations AI

Demonstration

Where it operates

Nine domains, covered end to end from detection through to a drafted fix:

Fulfillment
Orders stuck past the shipping window; store-baseline anomalies.
Purchasing & Receiving
Orders received against what was ordered; vendor rejections.
Inventory
Stock on hand that doesn't match what the system expects.
Interstore Transfers
Stock exceptions moving between stores; aging transfers.
Customers / CRM
Membership renewals, recurring billing, lapsed-customer signals.
Point of Sale
No-sale activity, tax configuration, receipt exceptions.
Loss Prevention
Drawer and no-sale activity flagged for human review.
Workforce
Shift punches, scheduling gaps, and time-clock exceptions.
Performance & Financial
Sales pace and traffic measured against store history.

How a fix earns automation

Nothing runs on its own by default. Every action starts as a draft a person approves, and only moves up with evidence:

  1. Level 1 — Draft only

    Everything starts here. The system prepares the fix; a person reviews and approves it.

  2. Level 2 — One-click, human-triggered

    Unlocked per action once enough approvals and verified outcomes support it — never by default.

  3. Level 3 — Runs on its own, logged

    Reserved for the narrowest, best-evidenced actions; still fully reversible and fully audited.

Beyond commerce

Commerce is the centre, not the boundary. Our practices stand around it.

Commerce Intelligence

  • Site Search
  • Search Intelligence
  • Personalization
  • Merchandising
  • Recommendations

Development & AI

Build

Software has to work the day real people start using it. We build web apps, mobile apps and front ends — defining the goals, researching the market and choosing the features first — and test web apps for performance, security, usability and accessibility, with project managers, designers, market specialists and developers on one team. Technical support keeps it productive after launch.

  • Web apps
  • Mobile apps
  • Front-end development
  • Technical support

Ask us about Development & AI

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