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AI-POWERED SALES PREDICTION AND RECOMMENDATION SYSTEM

KEY BENEFITS DELIVERED:<br> OPTIMIZED SALES STRATEGY u2013 INTELLIGENT<br> INSIGHTS REPLACE GUESSWORK.<br> INCREASED REVENUE u2013 UNCOVERED<br> UPSELLING/DOWN-SELLING OPPORTUNITIES.<br> PERSONALIZED ENGAGEMENT u2013 SMART<br> RECOMMENDATIONS FOR BETTER TARGETING.<br> ACCURATE FORECASTING u2013 PREDICT FUTURE<br> TRENDS WITH CONFIDENCE.

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AI-POWERED SALES PREDICTION AND RECOMMENDATION SYSTEM

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  1. AI-POWERED SALES PREDICTION AND RECOMMENDATION SYSTEM

  2. KEY CHALLENGES: ❌ LACK OF DATA-DRIVEN INSIGHTS – SALES PERFORMANCE VARIED DUE TO MANUAL AND SUBJECTIVE DECISIONS. PROBLEM STATEMENT & CHALLENGES ? MISSED SALES OPPORTUNITIES – NO CLEAR WAY TO IDENTIFY UPSELLING AND DOWN-SELLING POSSIBILITIES. ? INEFFICIENT STRATEGY – REACTIVE SALES APPROACH LED TO UNDERPERFORMANCE AND LOST REVENUE.

  3. HOW WE SOLVED IT: 1. Data Collection & Processing SOLUTION APPROACH Integrated multi-source historical sales data into Snowflake. Cleaned and transformed data using Pandas and NumPy. 2. Predictive Modeling Built ML models using XGBoost & Scikit-learn to forecast sales. Applied feature engineering to surface buying patterns and trends.

  4. KEY BENEFITS DELIVERED: OPTIMIZED SALES STRATEGY – INTELLIGENT INSIGHTS REPLACE GUESSWORK. VALUE CREATION INCREASED REVENUE – UNCOVERED UPSELLING/DOWN-SELLING OPPORTUNITIES. PERSONALIZED ENGAGEMENT – SMART RECOMMENDATIONS FOR BETTER TARGETING. ACCURATE FORECASTING – PREDICT FUTURE TRENDS WITH CONFIDENCE.

  5. PREDICTIVE MODELING DATA STORAGE DATA PROCESSING VISUALIZATION INTEGRATION TECHNOLOGIES USED

  6. THANK YOU SCAN HERE TO SEE A DEMO ON YOUR DATASETS

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