Operations Scaling
Archer & Olive Retro Summer Collection
Multi-Product Launch Operations Management Category: Operations Scaling - Managing complex product operations under tight timelines and budget constraints
The Challenge
Operations required coordinating a 24-piece product launch across multiple categories within a compressed 6-week timeline while maintaining budget parameters and quality standards. The project demanded balancing operational efficiency with product variety and brand cohesion across all deliverables.
My Role
I led comprehensive operations planning and execution across all product categories, coordinating with cross-functional teams to manage production calendars and vendor relationships. I oversaw selection and scoping of all 24 SKUs while ensuring operational alignment with customer demand forecasting and profitability requirements.
Strategy & Process
Coordinated multi-category production operations to maximize ROI and operational efficiency across 24 unique SKUs
Managed complex production scheduling and vendor coordination to meet aggressive 6-week development timeline
Established cross-functional communication protocols to ensure operational alignment between teams and external partners
Implemented cost management strategies that balanced quality enhancement with budget optimization
Executed vendor coordination and material sourcing to support concurrent production across multiple product lines
Outcome
Successfully delivered 24-SKU product launch on time and under budget through systematic operations management
Achieved record-setting ROI through strategic operations planning and cost optimization
Established scalable operations framework that supported future multi-product launches
Demonstrated ability to manage complex, concurrent operations while maintaining quality and timeline requirements
What I Learned
Complex operations scaling requires systematic coordination and clear communication protocols. Success depends on balancing operational efficiency with quality standards across multiple concurrent workstreams.