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Guadalajara
Ruben Malo

Ruben Malo

Data Analyst

Tecnología / Internet

Guadalajara, Guadalajara

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Acerca de Ruben Malo:

I am an Industrial Engineer, with a career spanning over 15 years in supply chain management within the Fashion Retail sector, focusing heavily on data analysis. My career started at Calzado Dione, where I progressed to leading the warehouse, implementing innovative inventory management strategies like “just in time or demand forecasting”. Later, at C&A, I delved deeper into inventory optimization and data analysis, using various technological tools to enhance operational efficiency and customer satisfaction. My experience reflects an ongoing commitment to excellence and innovation in all aspects of supply chain management.

Experiencia

Supply Planning Coordinator
C&A México / 2022 - Present
Specific Responsibilities
Oversee the development and implementation of supply plans, integrating advanced data analysis to align with
financial and commercial projections and optimize product flow.
Manage relevant KPIs, including OTIF, logistics costs, and fill rate, using data analysis and mining to identify and
implement improvements in distribution and logistics to ensure precise SKU availability in stores according to
demand..
Coordinate the shipping schedule with precision, using analytical tools to synchronize distribution center operations
with sales forecasts and market demand.
Proactively manage inventory in both physical and online stores, applying data analysis techniques to work effectively
with purchasing and planning teams.
Facilitate effective communication and management with stores, ensuring smooth and efficient supply chain
transitions, especially during critical periods, supported by data analysis to optimize processes.
Concrete Achievements:
Implemented advanced tools, such as Tableau, for the development of detailed reports and process management,
enabling more informed and agile decision-making. This includes creating interactive dashboards that enhance
visibility and understanding of supply chain performance.
Utilized Python to streamline time-intensive processes, significantly boosting operational efficiency. This included
optimizing tasks that traditionally slowed down workflow, enabling critical tasks to be completed in a fraction of the
time previously required.
Revamped the product distribution strategy by aligning it more closely with actual store demand and size
requirements, achieving a markdown reduction of 20%. Additionally, introduced a specialized approach for the
distribution of licensed character merchandise based on precise store demand, resulting in a sales increase of 15%.

Educación

Supply Planning Specialist
C&A México / 2017 - 2022
Specific Responsibilities
Ensured or exceeded each category
'
s sales plan by accurately calculating required quantities for each store, optimizing
inventory to balance sales and surplus.
Complied with merchandise distribution using push and pull techniques to meet the minimum service level by
article, size, and store, enhancing product availability and customer satisfaction.
Partnered with merchandising teams and suppliers to monitor the
"
end-to-end"
progress of product receipts, from
booking to in-store availability, ensuring an efficient supply chain.
Achieved target stock levels for new store openings. Analyzed seasonal products to ensure distribution aligned with
store locations, driving higher sales through targeted product offerings.
Managed the procurement and transportation of product samples from the Distribution Center to Headquarters,
supporting swift decision-making on product lines.
Additionally, I led the strategic shift to Oracle Allocation for the distribution system, significantly enhancing
inventory allocation accuracy and operational efficiency across the supply chain. This transition allowed for advanced
inventory optimization, reducing costs and increasing customer satisfaction by ensuring the right product availability
at the right time and place.

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