Every banking app shows you a list of transactions. Most make you categorize them yourself. rogat.ai uses AI to automatically categorize every transaction with 95%+ accuracy — and it gets smarter the more you use it.

No manual tagging. No rule-building. No dragging transactions into folders. The moment a new charge hits your account, it's already categorized, ready for your budget, your reports, your insights. Here's how it works.

The Problem with Bank Transaction Descriptions

If you've ever looked at your bank statement, you know the problem. Transaction descriptions are a mess — cryptic abbreviations, truncated merchant names, and codes that mean nothing to a human.

What your bank shows you:

"SHOPPERS DRUG MA #1234 TORONTO ON" What is this? Pharmacy? Groceries? Beauty? "SQ *BLUE BARN CAFE" Square payment at a café — but your bank says "Services" "AMZN MKTP CA*2K4J5P" Amazon, but what category? "INTERAC E-TFR FROM JOHN" Income? Transfer? Repayment?

Banks just dump raw merchant codes and hope for the best. Humans struggle to make sense of them. AI excels at exactly this kind of pattern recognition.

How rogat.ai's AI Categorization Works

Every transaction goes through a four-step pipeline that combines merchant intelligence, contextual analysis, and personalized learning.

1

Merchant Recognition

AI maps raw transaction descriptions to known merchants. "SHOPPERS DRUG MA" becomes Shoppers Drug Mart. "TIMS #4821" becomes Tim Hortons. rogat.ai draws on a database of 50,000+ Canadian merchants to resolve even the most garbled descriptions into clean, recognizable names.

2

Category Inference

Based on the identified merchant, AI assigns the most likely category. Shoppers Drug Mart goes to Health & Pharmacy — not Groceries. Canadian Tire goes to Shopping — not Automotive. The AI understands what each merchant actually sells, not just what the name implies.

3

Context Analysis

AI considers the amount, time of day, and your spending patterns to refine the category. A $4.50 charge at Shoppers Drug Mart is probably a snack or drink (Groceries), while an $89 charge is likely a pharmacy purchase. A $200 charge at Canadian Tire in December? Probably a gift.

4

Learning from Corrections

When you re-categorize a transaction, AI remembers. If you move your weekly Costco charge from "Shopping" to "Groceries," rogat.ai learns that preference. Next time you shop at that merchant for a similar amount, it uses your correction — not the default. Your AI gets smarter with every interaction.

Canadian Merchant Intelligence

Most budgeting apps are built for the American market. Their merchant databases are full of Walmart, Target, and Walgreens — but when they encounter a Canadian transaction, they stumble. rogat.ai is different. The AI was trained on Canadian spending patterns from day one.

Interac e-Transfers — Distinguishes income vs repayments vs gifts based on context and amount
Tim Hortons, Shoppers, Canadian Tire — Recognizes all major Canadian retailers by their truncated codes
LCBO, SAQ, BCL — Understands provincial liquor store naming (Ontario, Quebec, BC)
Loblaws, No Frills, Sobeys, Metro — Maps every Canadian grocery chain to the right category
Fido, Koodo, Freedom Mobile — Properly categorizes Canadian telecom providers as Utilities, not "Services"
PRESTO — Knows this is transit, not a magic show

Why this matters: An American-built app will categorize "LCBO #0425" as "Unknown" or "Shopping." rogat.ai correctly categorizes it as Alcohol & Bars — because it understands what LCBO is. This is the difference between a generic tool and one built for how Canadians actually spend.

Multi-Tag Intelligence

Real life doesn't fit neatly into a single category. A Costco trip might include groceries, household supplies, and clothing. A Shoppers Drug Mart visit could be pharmacy, personal care, and a snack. Traditional apps force you to pick one category. rogat.ai is building multi-tag intelligence — the ability to assign primary and secondary categories to a single transaction.

A $150 Costco charge? Primary: Groceries. Secondary: Household. A $45 Shoppers run? Primary: Pharmacy. Secondary: Personal Care. An Amazon order? The AI assigns the most likely category based on your purchase history — because "Amazon" alone tells you nothing about what you actually bought.

This feature is coming soon and will give you a far more accurate picture of where your money actually goes.

Accuracy Over Time

rogat.ai's AI starts smart and gets smarter. From the moment you connect your accounts, it draws on its general knowledge of Canadian merchants to categorize your transactions. As you use the app and make corrections, it builds a personalized model of your spending.

Day 1
~90%
General model
Week 1
~93%
Learning your merchants
Month 1
~95%
Personalized to your spending
Month 3+
~97%
Near-perfect accuracy

The more you use it, the better it gets. Every correction teaches the AI something new about your preferences — and those lessons apply to all future transactions, not just the one you corrected.

Manual Categorization vs AI: The Time Math

The average Canadian has roughly 150 transactions per month. If you're manually categorizing even half of them, that's a real time cost. Let's do the math.

Manual Categorization
30
minutes per month
~6 hours per year
rogat.ai AI
0
minutes per month
Fully automatic

That's 6 hours every year you get back — time you'd otherwise spend scrolling through transactions, guessing what "SQ *BLUE BARN" means, and dragging things into categories. With rogat.ai, it's already done before you even open the app.

And unlike manual categorization, AI doesn't get tired, doesn't skip transactions, and doesn't miscategorize something because it's 11pm and you just want to be done. It's consistent, accurate, and instant — every single time.

Let AI Handle Your Transactions

Stop wasting time categorizing transactions manually. Let rogat.ai's AI do it for you — with 95%+ accuracy, right from day one.

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