Always-on retail demands operational precision in staffing. As technology advances in connected infrastructure and digital twins, regional convenience store chains are expanding and upgrading systems to minimize downtime. Effective staffing needs to be based on precise quantitative data reflecting dynamic traffic patterns and customer arrivals.

C-Site revolutionizes workforce scheduling by converting location-specific traffic data into staffing plans aligned with real customer flow.

Limitations of sales history-based scheduling

Ticon’s research highlights that using past sales alone fails to capture true demand. Vehicular traffic at roadside retail locations shows significant intraday, intraweek, and seasonal variations that differ by site. Peaks can exceed 200% of daily averages, causing queues and lost sales. Yet, 60% of managers still rely on manual scheduling and find balancing employee preferences with business needs challenging. Poor alignment results in customer avoidance of stores and lost loyalty.

C-Site’s unique offering

C-Site uniquely supports location-specific operational decisions by integrating diverse data sources—including traffic counters, GPS, connected vehicles, GIS, and event data—to provide highly granular traffic estimates down to 35 feet segments and 5-minute intervals. Beyond counts, it analyzes driver behavior to estimate likely visitors.

Reports provide directional AADT, hourly and seasonal demand curves, and highlight peak hours enabling managers to anticipate demand spikes driven by local factors like work commutes or recreational surges.

From traffic data to staffing plans

C-Site outputs integrate into workforce tools to optimize staffing. Recommendations include creating hourly staffing curves with higher staffing during peak demand, differentiating weekday/weekend schedules, and aligning staff roles to customer flow behavior to maximize conversion opportunities.

Economically, C-Site reporting costs are minor compared to their benefits—estimated at around 5% of one day’s labor cost or less than 15% of daily revenue, yielding clear payback through improved customer retention and sales.

Why now?

• New market entries expose stores to unfamiliar traffic cycles; C-Site guides staffing for fresh food prep, supervision, and checkout from launch.
• Reliable always-on systems require concurrent staffing to avoid bottlenecks, achievable through evidence-based scheduling.
• Changing mobility patterns and infrastructure upgrades shift demand; continuous C-Site monitoring supports timely schedule adjustments.

Getting started with C-Site

• Order reports per store for hourly, weekday, and seasonal traffic profiles plus behavioral insights.
• Convert profiles to staffing curves with thresholds for adding/removing positions in 30-60 minute blocks.
• Develop 2-3 labor templates per store tuned to specific demand patterns.
• Set queue triggers before five-minute waits; train floaters for flexible deployment.
• Review profiles quarterly to adapt to seasonal and event-driven changes.

C-Site equips retailers to schedule based on precise demand rather than averages, enhancing service quality, controlling labor costs, and maintaining customer loyalty as retail adapts to connected infrastructure and market expansion.