Case Study
How SMCP Unlocked a New Superpower with AI-Based Scheduling
SMCP North America replaced time-consuming manual scheduling with Legion’s AI-powered Workforce Management (WFM) Platform, reducing scheduling time by 50% and increasing manager-driven sales by 22%. The result: better compliance, engagement, and productivity across the board.
By the numbers
50%
less time spent on scheduling (from 7 to 3 hours/month)
22%
increase in manager contribution to sales
100%
mobile app adoption by hourly employees
0
compliance violations
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About SMCP
SMCP is a global leader in ready-to-wear fashion and accessories, representing Sandro, Maje, Claudie Pierlot, and Fursac. With more than 1,600 points of sale across 41 countries, SMCP North America operates over 100 locations and employs more than 500 hourly associates in the U.S. and Canada.
“Legion WFM AI-based scheduling is a superpower because it does what a person isn’t meant to do or can’t do.”
Director of Human Resources,
SMCP North America
The Challenge
Before adopting Legion WFM, SMCP faced inefficient manual scheduling that required over seven hours of managerial time each month. Scheduling lacked visibility into peak times, employee preferences, and compliance, particularly in the New York and California regions. Communication relied on paper or email, making shift coverage and updates difficult during the COVID-19 pandemic.
Paper-based schedule tracking
Inefficient communication tools
Inaccurate schedules
Lack of schedule flexibility
The Solution
Automated Scheduling
- Automated creation of optimized, compliant schedules
- Matched employee preferences with business needs
- Reduced scheduling time by over 50%
Mobile App for Employee Engagement
- 100% adoption of the optional mobile app for real-time schedule visibility
- Employees can easily view, swap, and claim shifts
- Fewer missed or late shifts due to better visibility and control
Improved Manager Productivity
- Managers gained back four hours per month
- More time allocated to sales, training, and strategy
Compliance and Operational Resilience
- Zero compliance violations due to automated safeguards
- Enabled flexible staffing, including sharing employees across locations
- Legion data guided labor model adjustments and new support roles
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The Results
Dramatically Increased Efficiency
Scheduling time dropped from 7 to 3 hours/month, allowing managers to focus on high-impact work such as growing their business, coaching their teams, and interacting with customers.
Improved Sales Performance
A 22% boost in manager-driven sales resulted from better staffing and peak period optimization
Full App Adoption and Engagement
100% of hourly employees now use the optional Legion app, gaining autonomy and transparency.
Compliance and Strategic Agility
Legion enabled SMCP to navigate complex labor laws and pandemic challenges without compromising operations.
“Legion brings employees and business leaders together by automatically matching employee preferences with the business’s needs.”
Director of Human Resources,
SMCP North America
Conclusion
Legion helped SMCP North America transform its workforce operations by automating scheduling, improving compliance, and empowering both managers and employees with real-time visibility and mobile-first tools. With managers now spending less time on administrative tasks and more time driving sales, and employees enjoying greater autonomy and transparency, SMCP is cultivating a more efficient, resilient, and engaged retail organization.
With Legion, organizations can deliver:
- Gig-like flexibility for employees through mobile-first, real-time scheduling and shift swapping
- One-click optimization that reduces manual workload and enhances compliance for managers
- Smart communication tools that unify scheduling, updates, and shift visibility in one platform
At SMCP, this approach delivers measurable results: increased productivity, stronger employee engagement, and a culture of empowerment—all driven by intelligent, AI-powered workforce management.
Read on
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How SMCP Unlocked a New Superpower with AI-Based Scheduling
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