Juliana Salazar Lozano

- Manage the monthly data review process to verify the accuracy of all upcoming product information, ensuring enhanced consumer experience on the Adidas NAM website.

- Conduct thorough analyses of the apparel category, with a specific focus on sports bras, ensuring data accuracy and proposing new consumer website experiences through collaboration with various stakeholders.

Achievements:

I designed and developed "Enrichify," an automated Python solution for monthly data review. This code automates data enrichment, achieving a 99% time optimization and saving 80 hours per month.

- Implement article integration with wholesale digital platforms, ensuring timely availability of the entire product range aligned with the e-commerce standards for the season.

-Automate article activation and blocking based on commercial dates using a Python code I developed.

- Collaborate with internal and external stakeholders to ensure readiness of product attributes and integration into partner portals in the specified formats for timely deployment.

- Spearhead the project implementation of a new pricing feature for Partner Program, enabling e-commerce member pricing replication on wholesale sites.

Achievements:

- I designed and developed "Stoffer," an automated Python solution for stock buffering. The primary objective of this code is to ensure timely release of articles without errors from the middleware provider. It had achieved a 99% time optimization through refactoring and saves 40 hours per month.

- Generate sales forecasts to optimize resource allocation for the latter half of 2021 and throughout 2022.

- Warehouse optimization ensuring efficient product search and implementation of BI dashboards in Excel and Tableau for decision-making purposes.

- Led with strategic, operational, and financial acumen to advance the company's long-term goals and uphold its organizational vision.

Achievements:

- Designed and conducted a process survey resulting in a 15% improvement, automated processes to enhance productivity, achieving a 60% improvement.

- Warehouse optimization achieved a 98.9% efficiency rate.

- Development of productivity metrics.

- Overseeing and supporting all call center activities related to digital transformation initiatives.

- Monitoring internal projects across accounts, concurrently preparing performance analysis reports for staff.

Achievements:

- Modeled and designed 40% of the processes to identify bottlenecks, and subsequently implemented automation to improve efficiency.

- Drive continuous improvement in supply chain inventory, warehouse operations, and logistics while fostering relationships with partners and suppliers.

- Create RPAs to automate internal inventory processes.

- Lead automation initiatives for internal processes.

Achievements:

- Through automation of the inventory process, the inventory department achieved approximately 30% daily labor time savings. Moreover, the number of references counted increased by 9.25%, effectively eliminating bottlenecks and process delays.