Featured Case Study

Lee Concept

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ClientLee Concept / CBEC R&D Division

Year2026

IndustryInterior & E-Commerce / AI Automation

Timeline6 weeks

RoleAI Agents Research, Prompt Engineering, Web Architecture

Core OutcomeAI Automation R&D & high-performance e-commerce architecture.

Overview

Lee Concept is a modern interior and lifestyle brand supported by CBEC Lab R&D. We built AI-driven market scraping bots, automated review sentiment analysis tools, and optimized high-performance e-commerce web layouts.

24/7

Autonomous Agent Monitoring

50k+

Market Insights & Products Analyzed

90%

Operational Time Saved on Research

The Challenges

E-commerce operations were losing hundreds of hours manually tracking competitor product catalogs, pricing shifts, and customer reviews.
Heavy unoptimized product images (over 4MB) caused severe mobile load lag and high bounce rates on product pages.

Our Solution

Engineered stealthy AI scraping bots to aggregate competitor analytics and summarize sentiment using OpenAI/Gemini APIs.
Re-architected all visual assets into sub-300KB WebP formats with Next.js dynamic image optimization.

The Results

Reduced page load time by 75% while providing real-time competitive intelligence dashboards for store managers.
Published E-commerce growth playbooks and workflow scripts for commercial partner deployment.