On a crisp September morning in Atlanta, Julia — founder of a mid-sized home décor e-commerce brand — sat at her desk staring at a worrying dashboard. Sales were flat. Website traffic was increasing, but conversions were falling. Her team was spending hours every day replying to customers, managing inventory, sending follow-up emails, and launching campaigns manually. 

They were working harder than ever — but not growing. 

One evening, at a chamber-of-commerce networking event, another small business owner casually mentioned, 
“You should try AI. It helped us increase sales by 30% in three months.” 

Skeptical but curious, Julia started with just two AI tools: 
→ an AI sales assistant 
→ an AI analytics + forecasting tool 

Within weeks, patterns emerged she had never seen before: customers who were most likely to convert, products that needed price adjustments, and peak shopping windows she was previously missing. 

Automated follow-ups skyrocketed responses. 
Personalized product recommendations boosted AOV. 
Her abandoned cart recovery rate doubled. 

By the end of the quarter: 

A 12-agent real estate team in Austin.