Case study

Recovery Guru

An AI-powered comparison platform for recovery and wellness products, with automated catalogue growth behind it.

Industry: Wellness, eCommerce and comparison
Year: 2025
Platform: Web
Engagement: Full-stack development and QA

comparison.recoveryguru.com.au

Recovery Guru home page with search and product cards

Compare products

Overview

Complex wellness products made easier to compare, and the business easier to scale.

Recovery Guru helps consumers navigate a fast-growing market of recovery and wellness products through structured research, side-by-side comparison and AI-assisted recommendations. Behind it, we engineered an automated ingestion system that turns source URLs into structured comparison data, cutting the work needed to grow and maintain the catalogue.

1Product URL is all it takes to start a new listing

6Layers from source page to purchase

2Audiences served: shoppers and the team behind them

5Steps from discovery to purchase consideration

Recovery Guru case studyOverview

The industry problem

Wellness products are getting smarter. Choosing between them is getting harder.

The information needed to compare products is spread across manufacturer and retailer sites. Brands describe the same specification in different ways, and key differences are buried in long product pages.

Marketing claims are easy to find. Comparable information isn't.

A category that keeps expanding

Far beyond basic fitness equipment

Cold plunges and ice bathsRecovery technologyTherapeutic devicesPerformance toolsWellness equipment

For the shopper

A research problem

Tabs, spec sheets and different terminology, just to understand two options.

For a comparison platform

A data problem

Organising inconsistent information from many sources, at scale. Recovery Guru had to solve both.

Recovery Guru case studyProblem

The challenge

A clear consumer experience without an unsustainable content operation.

Shoppers needed a natural path from discovery to purchase. But every product added to that path had to be prepared first, and doing it by hand would make growth more expensive with every brand.

1Discovery

2Education

3Comparison

4Recommendation

5Purchase consideration

Behind every productBefore a single comparison can happen

CollectedFrom brand and retailer sites

CleanedNoise and marketing removed

ClassifiedRight category and brand

MappedInto one consistent structure

Recovery Guru case studyChallenge

Our approach

One system for two very different users.

Recovery Guru has a public shopping experience and an operational layer behind it. We didn't rely on manual content entry or on uncontrolled automation, but on a deliberate mix of both.

Public experience

Complexity disappears

Shoppers browse categories, understand products and compare meaningful differences without specialist knowledge.

Operational layer

Structure takes over

Ingest information from different sites, turn it into comparable specs, and keep admins in control of what gets published.

Structured product modelling+Automated data extraction+AI-assisted mapping+Human review

Recovery Guru case studyApproach

Solution architecture

Fragmented product information in, structured comparison intelligence out.

One product-data pipeline feeds the consumer experience and the commercial model at the same time.

Layer 1

Source

Brands, categories and source sites defined; products added from their URLs.

Layer 2

Automated ingestion

Relevant details pulled from the source page, no manual re-typing.

Layer 3

AI structuring

Information analysed, cleaned and mapped into the platform's product model.

Layer 4

Human review

Admins inspect and edit before anything goes live.

Layer 5

Comparison

Product pages, spec tables, side-by-side views and suggestions.

Layer 6

Commerce

Affiliate links carry research into the purchase journey.

Recovery Guru case studyArchitecture

Making products comparable

Comparison only works when products speak the same language.

Manufacturers don't share a spec format. AI-assisted mapping turns unstructured source text into consistent attributes that can sit side by side.

Brand A product page

"Capacity: 100L, add ice for best results"

Brand B product page

"Holds roughly 26 gallons with built-in chiller"

Brand C product page

"Generous 100 litre tub, uninsulated PVC"

AI mapping

Attribute	Brand A	Brand B	Brand C
Volume / capacity	100 L	98 L	100 L
Cooling type	Manual (add ice)	Electric chiller	Manual (add ice)
Insulation	Insulated	Insulated	Non-insulated
Material	Plastic	Stainless steel	Inflatable

Illustrative example

Recovery Guru case studySpecification mapping

Compare products

Two products compared side by side with prices and buy buttons

Side-by-side comparison

From information overload to visible differences.

No more separate tabs and remembered specs. Shoppers review everything relevant in one place.

SpecificationsComparable attributes, aligned

Key differencesWhere products meaningfully differ

Related comparisonsOther pairs to keep researching

Recovery Guru case studyComparison

AI-assisted recommendations

Explaining which differences actually matter.

A table can show two products are different without saying what that means for the shopper. Recommendations use the structured data to explain which option may suit them better. The shopper still decides; they just interpret less on their own.

Up and down indicatorsEach spec shows which product leads

Tooltips on every attributePlain-language help for technical terms

Specification comparison

Specification rows with up and down indicators and a tooltip

Recommendation

Choose Brand B if you want a set temperature every day without buying ice. Choose Brand A if portability and price matter more.

Illustrative example

Recovery Guru case studyRecommendations

Home

Product discovery

Research often starts before shoppers know what they want.

Categories, trending products, popular comparisons and rich filters help users see what exists before narrowing down.

Intent-led"I know the products I'm considering"

Exploratory"I know the type, not the product"

Recovery Guru case studyDiscovery

Automating catalogue growth

The bottleneck wasn't publishing pages. It was preparing the data.

The manual way, for every product

With Recovery Guru

1

Paste the product URLThe admin starts from the source page

2

AI extracts and mapsSpecs pulled, cleaned and structured automatically

3

Admin reviews and publishesEdit anything, then approve

The team's effort moves from data entry to data validation.

Recovery Guru case studyAutomation

Human control around automation

Faster workflow, without losing editorial oversight.

Product data shapes comparison quality, so full automation would carry its own risk. Admins stay inside the process.

AI handles

Machines handle volume

Extraction from source pages
Cleaning inconsistent text
Mapping to specifications

Admins handle

People maintain quality

Reviewing generated data
Correcting and refining specs
Approving what gets published

Recovery Guru case studyHuman control

Affiliate commerce, built in

Commercial value where the platform helps most.

Brands and products link to their source sites and affiliate links, so shoppers move from comparison straight into buying. Editorial content on the blog supports the education step.

1

Product educationUnderstand what you're researching

2

Decision supportCompare the options that matter

3

Commercial conversionPurchase-ready users go to the right retailer

Blog

Recovery Guru case studyCommerce

Admin operations

The admin system is growth infrastructure, not just a CMS.

Structure

Category management

Create the categories that shape discovery and comparison.

Sources

Brand management

Brands, supported categories, source sites and affiliate details.

Catalogue

Product management

Create, review, update and maintain product profiles.

Automation

URL ingestion

Add a source URL and let the system retrieve and structure it.

Quality

Specification management

Review AI-mapped attributes and fix anything that needs it.

Revenue

Affiliate management

Connect products and brands to their referral destinations.

Recovery Guru case studyAdmin

The business impact

Value on both sides of the marketplace.

For shoppers

Less manual research: Product information in one comparison environment
Clearer differences: Structured specs make complex options easy to judge
More confidence: Recommendations and detail add context to decisions
Faster discovery: Categories, trends and popular comparisons

For the business

Less manual product entry: URL ingestion removes repetitive listing work
Faster catalogue growth: AI mapping speeds new products through the workflow
Consistent data, human-checked: One structure across brands, with admin oversight
Scalable affiliate revenue: Research connects naturally to purchase journeys

Recovery Guru case studyImpact

The outcome

From a manually maintained catalogue to a scalable comparison and commerce engine.

Source URLAn admin starts from the product page

Structured dataExtracted, mapped and reviewed

Clear comparisonSpecs, differences and recommendations

PurchaseAffiliate journey to the right retailer

The catalogue can grow without the operational workload growing at the same rate.

Recovery Guru case studyOutcome

Solution ecosystem

Five parts of one comparison business.

Product discovery

Category browsing
Product pages
Trending products
Popular comparisons

Comparison intelligence

Side-by-side views
Structured specs
Product differences
AI recommendations
Related comparisons

Automated operations

URL ingestion
Page scraping
Spec extraction
AI data cleaning
Spec mapping
Human review

Commerce

Brands
Source websites
Affiliate links
Purchase journeys

Administration

Categories
Brands
Products
Product-data editing
Affiliates

Recovery Guru case studyEcosystem

Technology behind the solution

Structured data at the core.

The web app connects the shopping experience to the product-management system, so data created by the ingestion workflow powers discovery, product pages and comparisons directly.

FrontendNext.js and TypeScriptDiscovery, product and comparison pages

BackendNode.js and Express.jsCatalogue, admin and affiliate logic

DataPostgreSQLOne structured product model

IngestionURL scraping and AI mappingSource pages to reviewed specifications

Recovery Guru case studyTechnology

Compare products

Recovery Guru is live

Built by JinnByte.

Full-stack development and QA for a wellness comparison platform, from automated ingestion to affiliate commerce.

Productrecoveryguru.com.au Built byjinnbyte.ai

Thank you