DigiKhata

Behaviour dashboard

Forward-looking signals from realistic Indian transaction behaviour.

Analyze new data

Monthly spending

₹33,519

₹42,000 budget tracked

Impulse score

74/100

Shopping and food orders are leading drivers

AI risk score

61/100

₹0 projected overspend

Budget health

46/100

Needs lighter weekend and late-night spending

Spending trend

Daily transaction rhythm

Category breakdown

Shopping₹10,969
Food Delivery₹7,900
Electronics₹6,140
Groceries₹5,340

AI spending risk meter

61

Overspending probability

Weekly spending graph

Salary-week and weekend pressure

AI insight cards

Late-night transactions are currently under control.
Weekday spending is creating more pressure than weekends.
Your food delivery spending increases after stressful work hours.
Post-salary spending is 84% higher than the rest of the month.
You are projected to stay within your monthly budget.

Top merchants

1Amazon₹11,090
2Myntra₹6,019
3Blinkit₹5,340
4Swiggy₹4,000
5Zomato₹3,900
6Uber₹2,070

Personalized nudge queue

Generated from Anakin-normalized merchant, amount, category, and timestamp signals.

Ready for WhatsApp, push, or in-app

in-app

Cool weekend carts before checkout

medium

Your discretionary shopping rises during weekend downtime, especially on marketplace and fashion merchants.

Hold Amazon/Myntra carts for 18 hours and re-score the month before paying.
Anakin normalizes ecommerce order pages into merchant/category rows, then the nudge engine compares weekend vs weekday spend.₹781 save

in-app

Review the Amazon spike

medium

Amazon is your largest recent spend at Rs 3,150. DigiKhata can ask one reflection before the next similar checkout.

Add a 2-question pause for purchases above Rs 2,000.
Anakin extracts order totals and merchant names so the coach can personalize high-ticket prompts.₹630 save

Danger hours

16:00₹7,810
17:00₹7,220
15:00₹5,019
18:00₹4,710
13:00₹2,160

Category ranking

Shopping₹10,969
Food Delivery₹7,900
Electronics₹6,140
Groceries₹5,340
Transport₹2,070
Coffee₹1,100

Behaviour timeline

Salary week

high

High discretionary shopping detected

Late evenings

medium

Food orders cluster after 10 PM

Weekend

medium

Impulse baskets rise during downtime

Month end

low

Projected balance remains positive