Global Retailer

Increased lead quality and operational efficiency.

Go-To-Market

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Retail & Consumer

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Natural Language Processing

Project Overview

AI-driven lead generation increased qualified leads by 90% while reducing manual work by 480 hours per month.

Layman's Explanation

The AI system automates identifying high-value potential customers, freeing up the marketing team from time-consuming manual tasks and offering better insights into customer behavior.

Analogy

In e-commerce, this system works like a personal shopper predicting what a customer is likely to buy, so the business can reach the right customers faster and more accurately.

Details

Predictive analytics and NLP system that analyzes customer behavior from various sources. It forecasts which leads are most likely to convert, automating lead qualification and saving significant time and effort. Integrated with AWS cloud, the system enhances targeting and campaign management.

Project Novelty

Lead qualification automation is becoming more prevalent, though NLP integration adds some novelty.

Project Estimates

Timeline:

5 months

Cost:

$200,000

Headcount:

6

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