How to get started ?

Step 1 : Search OptiMax on Google Cloud Marketplace

Step 2 : Deploy the Virtual Machine

Step 3 : Navigate the Virtual Machine

Go to opt directory

cd /opt

List folders inside /opt

Go to Katalyst_Street

cd K*

Check contents

Go to Chocky_The_Chocolate_Shop project

cd C*

View project folders

Go to OptiMax folder

cd O*

View files in OptiMax

Main Executables

cd version_2_Executables/

Step 4 : Learn how OptiMax frameworks are used for synthetic Chocky-The Chocolate Shop data

Install Python using:

sudo apt update

sudo apt install python3 python3-venv python3-pip

Then verify:

python3 --version

Create Virtual Environment(optional if created)

python3 -m venv venv

Activate the Virtual Environment

source venv/bin/activate

Install Required Libraries
pip install -r requirements.txt

OptiMax Code Analysis

Step 0: Create dim_Segment

Run 0_Create_dim_Segment_v7 and save output to log file

python3 0_Create_dim_Segment_v7.py > 0_Create_dim_Segment_v7.log 2>&1

View the execution output

cat 0_Create_dim_Segment_v7.log

Step 1:Create_dim_Channel

Run 1_Create_dim_Channel_V7 and save output to log file

python3 1_Create_dim_Channel_V7.py > 1_Create_dim_Channel_V7.log 2>&1

View the execution output

cat 1_Create_dim_Channel_V7.log

Step 2: Create_dim_campaign

Run 2_Create_dim_campaign_v8_0_02_24_25 and save output to log file

python3 2_Create_dim_campaign_v8_0_02_24_25.py > 2_Create_dim_campaign_v8_0_02_24_25.log 2>&1

View the execution output

cat 2_Create_dim_campaign_v8_0_02_24_25.log

Step 3: Create_dim_leads

Run 3_Create_dim_leads_v8_02_24_25 and save output to log file

python3 3_Create_dim_leads_v8.py > 3_Create_dim_leads_v8.log 2>&1

View the execution output

cat python3 3_Create_dim_leads_v8.log

Step 4: Create_dim_customer

Run 4_Create_dim_customer_V8 and save output to log file

python3 4_Create_dim_customer_V7.py > 4_Create_dim_customer_V7.log 2>&1

View the execution output

cat 4_Create_dim_customer_V7.log

Step 5: Create_dim_GiftCards

Run 3_Create_dim_GiftCards_ps and save output to log file

python3 5_Create_dim_GiftCards_ps_v7.py> 5_Create_dim_GiftCards_ps_v7.log 2>&1

View the execution output

cat 5_Create_dim_GiftCards_ps_v7.log

Step 6: Create_dim_demographics

Run 6_Create_dim_demographics_v7_02_24_25_ and save output to log file

python3 6_Create_dim_demographics_v7.py > 6_Create_dim_demographics_v7.log 2>&1

View the execution output

cat 6_Create_dim_demographics_v7.log

Step 7: Create_dim_merchandise

Run 7_Create_dim_merchandise_v7_02_24_25 and save output to log file

python3 7_Create_dim_merchandise_v7.py > 7_Create_dim_merchandise_v7.log 2>&1

View the execution output

cat 7_Create_dim_merchandise_v7_02_24_25.log

Step 8: Create_dim_fact_orderDetails

Run 8_Create_fact_orderDetails_v7_fact_orders and save output to log file

python3 8_Create_fact_orderDetails_v7_fact_orders.py > 8_Create_fact_orderDetails_v7_fact_orders.log 2>&1

View the execution output

cat 8_Create_fact_orderDetails_v7_fact_orders.log

Step 9: Create_dim_reviews

Run 9_Create_dim_reviews_v7 and save output to log file

python3 9_Create_dim_reviews_v7.py > 9_Create_dim_reviews_v7.log 2>&1

View the execution output

cat 9_Create_dim_reviews_v7.log

Step 10: Create_dim_subchannel

Run 10_Create_dim_subchannel_v8 and save output to log file

python3 10_Create_dim_subchannel_v8.py > 10_Create_dim_subchannel_v8.log 2>&1

View the execution output

cat 10_Create_dim_subchannel_v8.log

Step 11: Generate_Customers_shop2

Run 11_generate_Customers_shop2 and save output to log file

python3 11_generate_Customers_shop2.py > 11_generate_Customers_shop2.log 2>&1

View the execution output

cat 11_generate_Customers_shop2.log

Step 12: Generate_menu_shop2

Run 12_generate_menu_shop2 and save output to log file

python3 12_generate_menu_shop2.py > 12_generate_menu_shop2.log 2>&1

View the execution output

cat 12_generate_menu_shop2.log

Step 13: Generate_orders_shop2

Run 13_generate_orders_shop2 and save output to log file

python3 13_generate_orders_shop2.py > 13_generate_orders_shop2.log 2>&1

View the execution output

cat 13_generate_orders_shop2.log

Step 14:Creating_Master_Table_V8

Run 14_Creating_Master_Table_V8 and save output to log file

python3 14_Creating_Master_Table_V8.py > 14_Creating_Master_Table_V8.log 2>&1

View the execution output

cat Creating_Master_Table_V8.log

Step 15:Read_Master_Table_V8

Run 15_read_Master_Tablev8 and save output to log file

python3 15_read_Master_Tablev8.py > 15_read_Master_Tablev8.log 2>&1

View the execution output

cat 15_read_Master_Tablev8.log

Step 16:Master_Table_OptiMax_Descriptive

Run 16_Master_Table_OptiMax_Descriptive_v8_ and save output to log file

python3 16_Master_Table_OptiMax_Descriptive_v8_.py > 16_Master_Table_OptiMax_Descriptive_v8_.log 2>&1

View the execution output

cat 16_Master_Table_OptiMax_Descriptive_v8_.log

Step 17:Visualize_Past_Campaign_Performance

Run 17_Visualize_Past_Campaign_Performance_V8 and save output to log file

python3 17_Visualize_Past_Campaign_Performance_V8.py > 17_Visualize_Past_Campaign_Performance_V8.log 2>&1

View the execution output

cat 17_Visualize_Past_Campaign_Performance_V8.log

Step 18:Propensity_Logistic_Regression

Run 18_Propensity_Logistic_Regression_v8 and save output to log file

python3 18_Propensity_Logistic_Regression_v8.py > 18_Propensity_Logistic_Regression_v8.log 2>&1

View the execution output

cat 18_Propensity_Logistic_Regression_v8.log

Step 19:Scoring_and_Performance_Metrics_Response_Modeling

Run 19_Scoring_and_Performance_Metrics_Response_Modeling_v8 and save output to log file

python3 19_Scoring_and_Performance_Metrics_Response_Modeling_v8.py > 19_Scoring_and_Performance_Metrics_Response_Modeling_v8.log 2>&1

View the execution output

cat 19_Scoring_and_Performance_Metrics_Response_Modeling_v8.log

Step 20:cltv_resp_scored_master

Run 20_cltv_resp_scored_master_V8 and save output to log file

python3 20_cltv_resp_scored_master_V8.py > 20_cltv_resp_scored_master_V8.log 2>&1

View the execution output

cat 20_cltv_resp_scored_master_V8.log

Step 21:Building_CLTV_Model_on_Customers_and_Leads

Run 21_Building_CLTV_Model_on_Customers_and_Leads_v8 and save output to log file

python3 21_Building_CLTV_Model_on_Customers_and_Leads_v8.py > 21_Building_CLTV_Model_on_Customers_and_Leads_v8.log 2>&1

View the execution output

cat 21_Building_CLTV_Model_on_Customers_and_Leads_v8.log

Step 22:Optimax_Cltv_Score

Run 22_Optimax_Cltv_Score_V8 and save output to log file

python3 22_Optimax_Cltv_Score_V8.py > 22_Optimax_Cltv_Score_V8.log 2>&1

View the execution output

cat 22_Optimax_Cltv_Score_V8.log

Step 23:Scoring_CLTV_Modeling_V8

Run 23_Scoring_CLTV_Modeling_V8 and save output to log file

python3 23_Scoring_CLTV_Modeling_V8.py > 23_Scoring_CLTV_Modeling_V8.log 2>&1

View the execution output

cat 23_Scoring_CLTV_Modeling_V8.log

Step 24:optimax_segmentation_abcd

Run 24_optimax_segmentation_abcd_v8 and save output to log file

python3 24_optimax_segmentation_abcd_v8.py > 24_optimax_segmentation_abcd_v8.log 2>&1

View the execution output

cat 24_optimax_segmentation_abcd_v8.log

Step 25:Media_Mix_Modeling_Budget_Allocation_by_Channel_for_future_campagins

Run 25_Media_Mix_Modeling_Budget_Allocation_by_Channel_for_future_campagins_v8 and save output to log file

python3 25_Media_Mix_Modeling_Budget_Allocation_by_Channel_for_future_campagins_v8.py

View the execution output

cat 25_Media_Mix_Modeling_Budget_Allocation_by_Channel_for_future_campagins_v8.log

Step 26:Campaign_Hyperpersonalize_Emails_v8(Optional)

Implementation of Gemini and Vertex AI for Automated Lead Personalization

Step 27:Optimax_Inputs_Marketing_Summary

Run 27_Optimax_Inputs_Marketing_Summary and save output to log file

python3 27_Optimax_Inputs_Marketing_Summary.py > 27_Optimax_Inputs_Marketing_Summary.log 2>&1

View the execution output

27_Optimax_Inputs_Marketing_Summary.log

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