Sellora AI

Semantic product discovery — built to simulate modern ecommerce search using real AI.

A real-time demo platform that turns a simple product CSV into an intelligent, relevance-based shopping experience.
Built using OpenAI embeddings, vector search, and Python — by a non-technical founder, from scratch.

RUN VENDOR SEARCH DEMO

“Test Sellora AI on vendor discovery — powered by OpenAI embeddings”

Run Product Search Demo

"Opens Google Colab to test semantic search in real time"

Why Sellora AI?

Sellora AI was built to simulate the technical conversations I'd have as a Solutions Engineer translating user behavior into insights, logic, and outcomes.This hands-on build helped me:• Map user behavior to churn signals and surface actionable risk profiles• Simulate API-driven customer journeys and activation pipelines

Workflow Snapshots

I created this simulation as part of Sellora AI to build a real understanding of what drives strong onboarding and long-term client retention. This is how I train myself to think like a SE/CSM every day.

What I Learned

• Segmenting users by behavior lets teams personalize Outreach before churn risks escalate the core of CS strategy.• Health scores turn event data into customer clarity and trigger real time action.

EXPLORE MY SE PORTFOLIO

About Me

I built Sellora AI to sharpen the exact technical thinking needed in a hybrid SE/CSM role blending system design, data interpretation, and real world retention strategies.

"Sellora AI is a Simulated product environment I built from scratch to practice and prove the skills I'd bring to a role like Solutions Engineer mapping behavior, predicting churn, and automating Outreach.""Everything here is self-built to demonstrate how I think like a consultant, prototype like a builder, and deliver value like an SE."