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Product Lines

Separate products for different storefront problems.

This page goes deeper into the two current workflows: Suku Panda for buyer hesitation and Pagarkai for busy counter operations.

Suku Panda logo
Example Workflow

Suku Panda

Less Chat. Better Decisions.

Suku Panda helps ecommerce stores guide shoppers who compare, hesitate, and leave without choosing. The MVP focuses on helping a shopper clarify what matters, compare verified product information, and move toward one clear recommendation.

Designed to avoid

generic chatbot repliesnoisy popupsunverified product claimstoo many choices

Core workflow

Notice comparison or hesitationAsk what matters mostCompare verified product informationRecommend one clear optionExplain why it fits
Example Workflow
Suku Panda logo
Buying doubt
Shopper path
Everyday Backpack
Travel Backpack
Everyday Backpack
Comparison detected
Assistant prompt
Want help choosing based on what matters most?
Laptop fitDaily comfortCapacityBudgetTravelWarranty
Recommendation example

Recommended: Everyday Backpack

Best fit for daily laptop carry and comfort.

Store owner signal

Pain point: shoppers compare options but still feel unsure.

MVP direction: help them choose with one clear next step.

Pagarkai logo
Example Workflow

Pagarkai

Chaos in, clarity out!

Pagarkai helps busy food vendors manage rush-hour counter chaos. The MVP focuses on fast order entry, paid/done marking, cash/UPI status, pending items, and simple end-session summaries.

Designed to avoid

full POS complexitybilling and GST workflowsrestaurant-style setupheavy typing

Core loop

Open stallAdd orderMark doneMark paidClose stallSee summary
Example Workflow
Pagarkai logo
Stall session
Dosa
Idli
Tea
Vada
Egg roll
Fried rice

Rush order

2 Tea + 1 Vada

Total ₹40

DoneUPI
Today's Stall Summary
Total ₹40Cash totalUPI totalStill pendingWhat sold most

Built narrowly, tested against real behavior.

The next step is to turn these workflows into deployable pilot versions, test them with real operators, and simplify based on observed use.