endorsedCompleted

Inventory Management Data Pipeline and Risk Analysis

Services Covered:

Custom Software Development • Staff Augmentation

Industry

Information Technology

Duration

11 months

Budget

Confidential

Start Date

1 March 2024

Team Size

1-5 Employees

Engagement Model

Nearshore

Project Capability Score (PCS)

85/100

Strong

Project Capability Score (PCS) estimates how capable Pynest is of successfully delivering a project like this, based on its past experience, track record, and ability to handle similar work. Learn more about PCS

Client

Confidential

Cyprus

Project Summary

Pynest provided staff augmentation to build an inventory management analytics system: they set up ETL pipelines, migrated data from Azure, developed stock and risk analysis algorithms, and delivered an interactive visualization dashboard. The solution improved data integration and migration, enhanced risk analysis capabilities, and enabled clearer decision-making through visualizations. The team delivered on time, communicated clearly, and collaborated effectively.

Key Challenges

Track and forecast products at risk of write-offs to reduce waste and enable faster donation to shelters and charities
Improve inventory management to better identify stock and overstock situations
Combine disparate data sources and migrate data reliably for timely access and analysis

Project Deliverables

Integration and migration of primary data sources from Azure and setup of data pipelines
ETL implementation using Python, SQL, and PySpark
Stock and over-stock analysis algorithms with intermediate storage in ClickHouse
Risk analysis algorithms to forecast inventory risks
Visualization dashboard presenting stock-at-risk and write-offs

Project Solution

Pynest integrated primary data sources and migrated data from Azure, implementing ETL pipelines using Python, SQL, and PySpark to ensure consistent data flow. They developed stock and over-stock analysis algorithms, stored processed data in ClickHouse for further processing, and implemented risk analysis algorithms to forecast inventory risks. Finally, they built an interactive visualization dashboard (using Datasphere and ObjectStorage) to present stock-at-risk and write-offs and facilitate stakeholder decision-making.

Project Outcome

Improved data integration and migration processes for more reliable and timely data access
Improved ability to detect and manage stock and overstock situations, reducing potential waste
Effective risk analysis capabilities enabling proactive inventory management
Clear and informative visualizations that facilitate better decision-making regarding stock management

Platforms

Tech Stack

Python
PySpark
SQL
ClickHouse
Apache Hadoop

Client Endorsement

Overall Review Rating

4.88

Timeliness

Cost Rating

Willing to Refer

Quality of Deliverables

“Pynest delivered a scalable, efficient solution that improved data integration and migration processes and enhanced risk analysis capabilities. The team delivered on time, understood needs, communicated clearly, and collaborated seamlessly. Their comprehensive approach impressed the client.”
Anonymous
CTO
Date: 02/11/2025