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Prediction Solution for Web Portal Visitors

CASE STUDY

Prediction Solution for Web Portal Visitors

AWS   ·    Digitalization   ·    Enterprise   ·    Python

Scope

One of the major EU-based manufacturing companies tasked Auriga to develop a solution analyzing visitor’s behavior on the web portal and purchase history to predict prospective purchase, increase engagement and boost sales.

Projects Highlights

55K users records, 7K web-pages, 5K positions in store.

Churn prediction: refactoring and improvement of existing approach.

Data processing transferred from Azure + BigQuery to AWS Redshift.

Accuracy for recommender system increased (0.83).

Data processing accelerated by 10x (1 hour -> 5 minutes).

Data inconsistency decreased (16% -> 5%).

Fully automated cloud CI/CD.

Achieved Benefits

Recommender system: developed from the scratch in 3 months from start.

Increased level of customer’s engagement in sales process and communications (>10%).

Increased sales turnover irrespective of seasonal and other effects.

Scheduling and data processing pipeline fully automated.

Notification system launched.

Technologies

Python (pandas, sklearn, catboost)

PyCharm

AWS and Azure environments

Cloud CI/CD

Google BigQuery

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