Rebato

Project Overview

Rebato is a public Shopify app created by Webgarh’s engineering team to help merchants increase average order value through smarter upsell and cross-sell recommendations. Built around store data, machine learning, and behavioral analysis, the app is designed to surface relevant product suggestions across multiple points in the customer journey, from the product page through post-purchase.

Migration Details

Target Platform Shopify (Public App)

Migration Type Shopify app development

Catalog Size Data-driven product recommendations and AOV optimization

Key Challenge Delivering relevant upsell and cross-sell recommendations across the customer journey without relying on generic or poorly timed suggestions

Framework Used Upsell and cross-sell recommendation system across multiple funnel stages

The challenge

Many Shopify stores implement upsells and cross-sells, but generic recommendations often fail to perform. Suggestions are either not relevant enough, poorly timed, or placed in a way that does not align with how customers actually move through the buying journey.

Without a structured approach, these efforts do not meaningfully improve average order value or overall conversion efficiency.

Our Approach

Strategic Migration with Performance, Scalability and Continuity at Core

Design & UX

Structured recommendation placements across key buying stages

Designed to feel native within the storefront experience
Focused on non-intrusive, context-aware product suggestions

Functionality

Webgarh developed Rebato as a public Shopify app built around data-driven recommendation logic

Core functionality includes:

public Shopify app built by Webgarh
store-data-based upsell and cross-sell recommendations
machine-learning-supported suggestion logic
recommendation placements across PDP, cart, checkout, and post-purchase
logic designed to improve product relevance and timing

DATA & PROCESS AUTOMATION

Use of store data and behavioral signals to improve recommendation accuracy

Improved alignment between customer intent and product suggestions
More structured merchandising approach across the funnel

SYSTEMS & PRODUCT ENGINEERING

App-based architecture designed for scalability across merchants

Built as a reusable product instead of one-off custom implementations
Engineering focused on performance, flexibility, and Shopify compatibility

Results

Improved ability for merchants to increase AOV

More relevant product suggestions across key buying moments
Structured recommendation system integrated into the storefront journey

1

Public Shopify app launched

01

4

Recommendation touchpoints implemented

02

Data-driven

Upsell and cross-sell logic applied across the funnel

03

Tools & Accelerators Used

A combination of migration tools, tracking solutions, and Shopify Plus capabilities ensured efficiency and reliability. These tools accelerated delivery while maintaining accuracy and performance.

Custom stack

Shopify app development, machine learning logic

Webgarh Framework

Commerce optimization and product engineering

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Build a focused Shopify store for streamlined product sales and brand clarity.

Faster launch

Clean structure

Better flow

Considering a Shopify Plus migration for your store?

At Webgarh Solutions, we help merchants execute structured platform migrations using frameworks designed to support complex catalogs, B2B commerce, and scalable growth.

Talk to our team

Rebato – Public Shopify App for Data-Driven Upsells and Cross-Sells