Marketplace / AI 3 min read

Fragrance Discovery Platform for Perfume Enthusiasts and Professionals

Streamlined fragrance discovery with a personalised recommendation engine, transforming how enthusiasts and professionals explore and engage with perfumery.

ReactNode.jsAI/ML AlgorithmsPostgreSQLAWS
Key outcome Stabilised and scalable platform replacing unusable codebase
01

Stabilised and scalable platform replacing unusable codebase

02

50% tech funding contribution reduced financial strain

03

Enhanced fragrance recommendation engine performance

04

Platform now exceeds industry standards for discovery experience

The Challenge

Understanding the problem before designing the solution.

The startup had a robust internal tech team and strong ambitions, but as they began to scale, they encountered significant technical barriers. Collaborations with external agencies resulted in a codebase that was unfit for the platform's operational needs and disrupted the seamless experience they aimed to provide. Development delays further compounded these issues, causing deviations from the planned roadmap and jeopardising their goal of transforming fragrance discovery.

Our Solution

A senior-led, evidence-first approach to the problem.

RSVR Tech provided crucial support: 50% tech development funding allowing significant upgrades without financial strain, a complete technical revamp to overhaul the unusable codebase and enhance stability, feature enrichments to expand platform capabilities, and roadmap realignment to ensure timely progress and readiness for future challenges.

What was delivered

Key Deliverables

01

Advanced fragrance recommendation algorithm

02

Personalised user preference matching

03

Retailer engagement and market analytics dashboard

04

Scalable platform architecture

05

Seamless user experience across devices

06

Industry-leading perfumery discovery tools

Business impact

The outcomes we delivered.

Measurable results achieved through senior-led, evidence-first delivery.

01

Stabilised and scalable platform replacing unusable codebase

02

50% tech funding contribution reduced financial strain

03

Enhanced fragrance recommendation engine performance

04

Platform now exceeds industry standards for discovery experience

Technologies used

The stack we selected and delivered on.

React
Node.js
AI/ML Algorithms
PostgreSQL
AWS

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