A successful retail WFM project is a journey inspired by a vision and the right players, system, implementation and adoption. Explore the considerations!

Weather patterns ultimately will change consumer patterns and buying habits, including some shifts from in-store to online. Good forecasting solutions are incorporating detailed, region-specific weather data to forecast the sizeable impact of the local weather more accurately on retail patterns. The best forecasting solutions will use multiple layers of inputs for enhanced forecast accuracy.

Traditionally, accounting for weather in retail forecasts has been limited to omitting or tagging historical data. Incorporating climatology into forecasts will allow retailers to be more agile in their staffing to flex up or down based on changing weather patterns.

Retailers can sign up for a complimentary pilot of the industry’s most powerful, accurate AI and ML-driven metric forecasting through a fully automated self-serve platform. Designed to provide an easy, fast and low-risk way to sample the power of Logile’s forecasting, pilot participants can opt for 8 weeks of daily forecasts for up to 100 locations and 10 metrics at no cost.

The new partnership with Sixth Street is aimed at accelerating Logile’s market and vertical expansion, growing the team, and further fueling the development and enhancement of the company’s best-in-class unified platform for store-level planning, optimization and execution.

Flexible “gig-style” scheduling solution for on-demand shift bidding helps retailers attract and retain associates, expands retailers’ labor resources, and aligns with today’s workers’ desired flexibility and work-life balance expectations.