Ecommerce moves fast — so do we.
35+ AI products for ecommerce and retail, and end-to-end project delivery — from development to deployment — for businesses beyond them.
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.
Each block states what it does, what a person sets, and what it will not do.
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.
Limit. It will not make up a meaning nobody agreed. If it cannot answer, it says so.
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.
Limit. It will not quote an accuracy score. That number depends on how loosely you count.
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.
Limit. It writes the order. You place it.
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.
Comes in 6 kinds
Limit. It can only show what you already sell. A new product and a first-time visitor start with nothing to go on.
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.
Limit. It shows you the groups. It cannot tell you why people fall into them.
Search AI
You lose people on the no-results page. It matches meaning to what you sell.
It gives the people on your site four ways to find what you sell. Keyword suggestions drops a list down while they are still typing. Product search answers the results page — they look for "something for rain", and your pram rain covers come up first, then the clip-on ones. Multi-keyword search takes two things asked at once and answers both on one page. And Filtered search covers the visitor who never types at all: a category, sorted, with what you want at the top.
Comes in 4 kinds
Limit. It can only find what you have written down. If nobody wrote that a coat is warm, it cannot find it that way.
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.
Limit. It drafts a plan. It does not manage a project.
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.
Limit. It suggests a fix. It never puts one live itself.
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.
Limit. It moves a price inside bounds. It does not set the bounds.
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.
Limit. It can only use what you already hold about them. A first-time visitor sees your default.
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.
Limit. Only people you have enrolled, who agreed to it. It does not recognise customers.
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.
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.
Where it operates
Nine domains, covered end to end from detection through to a drafted fix:
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:
Level 1 — Draft only
Everything starts here. The system prepares the fix; a person reviews and approves it.
Level 2 — One-click, human-triggered
Unlocked per action once enough approvals and verified outcomes support it — never by default.
Level 3 — Runs on its own, logged
Reserved for the narrowest, best-evidenced actions; still fully reversible and fully audited.
What the systems carry. Two of these are daily figures, and the captions say which.
$2,000,0001
dollars of additional revenue generated
500+2
online stores serving tens of millions of shoppers daily
1,000,000+3
shopping moments personalized
712+ GB4
data processed daily in ecom
All four are the company’s own figures, as published on gais.co.in. The period and client basis are not yet stated.
Commerce is the centre, not the boundary. Our practices stand around it.
Commerce Intelligence
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.
Build
When a product is hard to use, people quietly stop using it, and the reason is rarely obvious from the inside. We research and observe your users, audit what is getting in their way, and design the wireframes, prototypes and visual design that fix it, testing with users as we go. The result is a product whose path makes sense to the people using it.
Position
Your brand is everything that sets you apart — your messaging, your visual identity and the experience customers have of you. We start with a brand strategy grounded in your business goals, then create what carries it: logo, tagline, design system, websites, pitch decks and videos. Whether it is a new brand or a revamp, the aim is one identity wherever customers meet you.
Position
Before you build or sell, you need to know who it is for and why they would choose you over a competitor. We run discovery and design-thinking work on scope, budget, timeline and users’ needs, define your positioning, and write the content strategy, sales playbook and go-to-market plan that follow from it. The aim is a sales process your team can repeat and scale.
Grow
A good product still has to be found by the right people. We run social media, SEO — technical, on-page, keyword research and off-page — pay-per-click campaigns and email marketing, each built on research into your audience, your keywords and your competitors. The aim is relevant traffic and trust that move people towards buying.
Grow
A sales team is only as busy as its pipeline, and a lead that is not ready to buy today still needs keeping warm. We profile the accounts worth pursuing, generate leads through search, social, referrals, display ads, LinkedIn, events and webinars, and nurture them with lead scoring until they are ready. The aim is a fuller pipeline of better-qualified leads for your sales team.
Scale
As a business grows, its information spreads across systems that do not talk to each other. We integrate them into one platform, so data is tracked, easy to reach for the people who need it, and workflows improve. The work fits your stage: MVPs, launches and investor pitches for startups; scaling and website optimisation for SMEs and fast movers; design production, communication and account-based marketing for enterprises.
Industries we serve
Our AI products are built for businesses that sell — online stores, and shops with a stockroom and a till.
Between them they cover the path of a sale:
how shoppers find and choose what you sell
what it costs
how much stock to hold
how the store runs from one morning to the next
behind the store
Five people we build for, the problem each one has, and the products that answer it. These are roles, not client stories.
Shoppers search, find nothing and leave — and most of what you sell is never seen.
You need to know how much to order, shop by shop, and your prices sit still while stock, cost and demand move.
Problems like negative inventory or over-received orders surface days late, stockroom badges get lost, and every number means asking someone for a report.
You can't see which customers buy the same way or which group has quietly stopped coming back — and every visitor sees the same ad.
Every change to the site risks breaking something like the basket total, and every project starts as a brief nobody has broken into tasks.
Enterprise Solutions is offered at three sizes:
GLBAI Solutions is a software company that helps businesses grow with new-generation, innovative technologies, and is adept in web and mobile app development.
Today we build AI agents, data and engineering systems for companies that have outgrown their tools: 35+ AI products, and end-to-end project delivery, from development to deployment.
To empower businesses and individuals with intelligent software that puts the latest advances in artificial intelligence and machine learning to work. We start from a deep understanding of each client's needs, and build solutions that streamline processes, improve decision-making and drive revenue growth.
To be a leading provider of AI-based software that transforms industries and enhances people's lives.
We keep learning, experimenting and staying curious, and aim to stay at the forefront of what the technology can do.
We work to understand our customers' needs and challenges deeply, and to deliver solutions made for them that exceed their expectations.
AI must be built and used responsibly, with the utmost respect for privacy, security and human rights. So each of our AI products says in plain words what it will not do: AI Reporting reads your data and never changes it, Operations AI never writes to your point-of-sale system, and Facial Recognition recognises only staff who agreed to be enrolled.
A team of 100+ employees, headquartered in Pune, India, behind 35+ AI products. We provide end-to-end project delivery, from development to deployment. Incorporated in 2019.
Software aficionado with 17+ years of experience, including general management of small to mid-size companies. Innovator and serial entrepreneur with experience in business leadership, business operations, product development, corporate development, marketing strategy, and management.
Co-founder of Romsan IT Services and Godspeed IT Services. 15+ years of experience in managing operations, strategic planning, finance and accounting.
35+ AI products — among them AI Reporting, Demand Forecasting, Inventory Management, Recommendation Engine, Customer Segmentation, Smart Site Search, AI Project Automation, AI Automation Testing, Dynamic Pricing, Personalised Ads, Facial Recognition, Operations AI — and end-to-end project delivery, from development to deployment, across our practices: Development & AI, Design, Brand Identity, Strategic Support, Digital Marketing, Performance Marketing, Enterprise Solutions.
With a detailed proposal. Before any work begins, you receive the scope of work and what it will cost. After launch, we offer ongoing support and maintenance, with regular updates and enhancements.
It depends on the scope and complexity of the work. We agree a realistic timeline and milestones with you at the start, and keep you updated throughout.
Cost depends on the scope of the project and how much customisation it needs. You receive a detailed proposal with the scope of work and its cost before any work begins.
Each product states on the Solutions page what it reads. For example: AI Reporting reads your data and never changes it. Operations AI reads your point-of-sale system through one dedicated, read-only connection and never writes to it. Personalised Ads uses what people did on your own site and never buys data about them from anywhere else.
Only what you have set limits for. Dynamic Pricing moves prices on its own, but only between the floor and ceiling you set, and records every change. Inventory Management writes an order and you place it. AI Automation Testing suggests a fix and never puts one live itself. In Operations AI every action starts as a draft a person approves, and moves towards automation only with evidence.
No. It recognises only the staff you enrol, who must agree to it, and opens the stockroom or till-area door for them. Customers are not enrolled and are not recognised.
Through regular testing, code reviews and documentation, following industry best practices throughout the project.
Mon–Sat, 11am–8pm IST
