productionizing demand forecasting model

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PRODUCTIONIZING DEMAND FORECASTING MODEL CASE STUDY CASE OVERVIEW Built an agile and scalable cloud-based solution for digital consultants across countries and product categories to reduce their manual effort. The new solution was fully integrated with existing campaign planning and campaign management systems. Client Leading Cosmetics Company Location Lima, Peru Industry CPG Sigmoid Private and Confidential- Not intended for copy or circulation www.sigmoid.com

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PRODUCTIONIZINGDEMANDFORECASTING MODELCASE STUDY

CASE OVERVIEW

Built an agile and scalable cloud-based solution

for digital consultants across countries and

product categories to reduce their manual

effort. The new solution was fully integrated

with existing campaign planning and campaign

management systems.

ClientLeading Cosmetics Company

LocationLima, Peru

IndustryCPG

Sigmoid Private and Confidential- Not intended for copy or circulationwww.sigmoid.com

NEED AND CHALLENGES

Sigmoid Private and Confidential- Not intended for copy or circulationwww.sigmoid.com

1. The client is a major cosmetics company in Latin America, operating under the direct sales model via magazines and catalogues in 14 countries, for over 50 years

2. They wanted to build a flexible and scalable solution to replace the existing system which wasn’t production-ready and ran on a notebook hosted on an EC2 instance

3. They also wanted to ensure scalability across countries and product categories that can be used by the existing campaign management system for campaign planning

4. A key challenge was the absence of standard processes for IT vendors to access client resources such as data sources, cloud machines, cluster environments, etc.

SOLUTION APPROACH

TECH STACK

1. Ensured the system has minimum manual Intervention and is easy to debug, extend and modularize, resulting in low maintenance and better fault tolerance

2. Created a parallel set-up in the cloud and made dummy tables in the environment to replicate the ETLs

3. Used Google Composer to manage workflow orchestration

4. The Cloud Composer pipelines are configured as directed acyclic graphs (DAGs) using Python

ABOUT SIGMOIDSigmoid is a Sequoia-backed leading Data Solutions company with offices in USA, Peru and India. With a rich experience in Open-Source and Cloud technologies, Sigmoid specializes in building innovative solutions in the Data Engineering and Data Science areas. Sigmoid enables Retail, CPG, BFSI, and High Tech data companies in their business transformation journey through Big Data and Analytics providing smarter, faster and more accurate data solutions at scale.

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