Solaria AI Customer Engagement Platform

An AI-powered customer assistance website built under the PPL initiative for Solaria Group, integrating NLP models for real-time customer query resolution.

My role: Small Business Project Manager
Organization: PT. Arasaka Technology Development

Original public archiveExplore the case

Solaria AI customer engagement project — Archive artifact / 01
Artifact note: the documentation shown is dated June 2026. The portfolio records the original project engagement in 2023–2024.

01 Context

The environment

Commercial retail brand needing responsive, 24/7 interactive customer assistance without ballooning manual support desk queues.

02 Problem

The human problem

Customers faced delays when inquiring about store menus, promotions, and branch locations.

03 System

The contribution

Coordinated NLP pipeline fine-tuning, web conversational interface integration, and automated test deployments for smooth multi-turn dialogues.

04 Recorded technology

Tools of the trade

NLP
Python
Chatbot Architecture
JavaScript
Conversational AI

02 / Evidence & boundaries

What this evidence means

This page preserves a public professional or research case study. Screenshots and descriptions belong to that archive. Interactive tools and synthetic business demonstrations elsewhere on this site are newly built portfolio work; they do not recreate an employer’s internal data or independently prove historical outcomes.

Reported outcomes

Historical figures below are reported by the portfolio author and preserved from the original case study. They have not been independently validated and are not benchmarks of the new demonstrations.

Automated Interaction: 24/7

Public case study Figures: author-reported

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