For service businesses, there are few constants when it comes to forecasting workload because everything depends on seemingly unpredictable customer flow. The result is scheduling based on one-dimensional historical views, hoping for a repeat of customer flow. Not only is this method ineffective, it is also inefficient.
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How much did you spend on labor last month? Last week? Today? What do you do when you are spending too much on labor? Overstaffing contributes to millions of dollars in bottom line losses for stores each year.
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While there are uncountable applications for AI, demand prediction for service-oriented businesses is providing a noticeable edge to those businesses that are utilizing the power of artificial intelligence.
During the Winter 2020/2021 semester, a group of smart, talented interns joined Weave Workforce to learn about our product and operations. While the students gained valuable insights into the business world and AI-powered prediction and scheduling software, we gained a team that did an amazing job supporting our marketing efforts.
Can you imagine going back to paper calendars and landlines? Technology has advanced so much that these cumbersome business practices seem almost laughable. A similar revolution is now emerging for employee scheduling.
Workload demand prediction and employee scheduling utilizing applied AI has just emerged in recent years. The capability to predict demand and assign schedules that meet this demand is nearly an impossible task for a human. However, employing software to aid in the process makes this challenge manageable.
2020 was an emotionally taxing year for all of us. Whether your employees retained full time employment, experienced periods of furlough, or were laid off completely, the entire work culture changed. Just as the initial adjustment to working from home was stressful, returning to the office will also be a challenging adjustment.
The integration brings the benefits of labor optimization to dealership service departments. Taking into consideration each dealership’s unique business parameters, AI-powered Weave Workforce software maximizes proficiency by increasing productivity and efficiency on the shop floor.
Currently, the vast majority of businesses are still using shift scheduling software for time and attendance that merely repeats past schedules. While that may work for some professions, if you are running a service-oriented business with unpredictable, fluctuating workload, this approach is fundamentally flawed.
As a business owner or manager, have you considered that each employee’s contributions could be optimized through improved shift scheduling? Their talents and energy could be used to greater potential if you truly understood their unique needs and had the right scheduling tools available.
Many business decision makers use a form of judgment-based forecasting. They use their own subjective knowledge to set work schedules based on experience, intuition, and past behavior. While this method can prove effective in some situations, there are typically busy or slow periods that don’t align with one’s intuition and seem unpredictable.
While we’re all beaming with excitement over uncertainty and overtime in the world of sports, when it comes to your business operations, uncertainty and overtime are the last thing you want to face.
Much like a team’s performance on the playing field, success and productivity in the workforce is driven by a few foundational factors. Encouraging employees to build on their strengths and work as a team towards a common goal can be easily achieved by implementing 5 principles.
Weave Workforce and Fixed Ops Pros have signed a partnership agreement to bring workforce optimization software to automotive dealerships throughout the United States and Canada. The Weave Workforce solution helps dealerships increase profit and productivity by applying AI-based workload forecasting and automated technician scheduling.
You are aware that your business has chronic periods of being short staffed. Your employees are often rushed to assist customers at hand during peak hours, and customers frequently turn impatient due to long wait times or poor service. Now what? How do you go about fixing understaffing issues in a systematic, effective way without increasing the number of employees?
Often, understaffing is not a conscious decision by management but is instead caused by an inability to predict the peaks and valleys of demand. Staffing to the average customer flow does not account for sporadic peaks in demand. Stores that have fluctuating rush periods may inadvertently become understaffed during these sudden demand peaks.
Negative employee interactions are often caused by a mismatch between the service to be rendered and the employees available to provide it. While staff members must of course be trained in positive customer interaction, even experienced staff members can leave customers with negative impressions when their skill set or capacity for workload is not adequately matched to the job requirement.
Rather than falling behind by duplicating last week’s schedule, jump ahead to the labor optimization tools that can predict tomorrow’s needs and match workforce to workload-providing certain forecasts in uncertain times.
Building on the foundation of a clear view of productivity and a robust forecast, a business can truly optimize their workforce to fit the future workload. This will allow them to minimize excess labor costs from overtime when demand is high and avoid overstaffing when demand is low.
Balancing the needs of customers, employees, and businesses through optimum employee scheduling is inherently difficult. But recognizing the potential benefits in terms of productivity and customer satisfaction, it is also fundamental to address this challenge for the health and sustainability of a business.
John Larsen, Weave Workforce CEO, provides a brief interface overview of our AI-based employee scheduling software.
Belle Tire realized a 14% reduction in hourly labor costs and an increase in same store sales of 2.1%, resulting in an increase in same store EBITDA of 8.4%. At the same time, Belle Tire maintained a Net Promoter Score of 75, exhibiting preservation of their historically exceptional customer experience.
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View John Larsen’s recent presentation “Harmonizing Workforce Schedules with Uncertain Demand” at A2.AI, Ann Arbor’s Applied AI Conference.
Weave Workforce has announced the launch of its new website to further support its mission, helping service businesses address the persistent challenges of aligning employee schedules with fluctuating demand.
The world finds itself in a situation that few could imagine just a few short months ago. Uncertainty swirls around us, inducing feelings of fear and doubt with the potential to bring the global economy to a halt.
RXA, the leader in applied artificial intelligence, advanced data science, and analytics allowing companies to make smarter, faster decisions, announced today the establishment of Weave Workforce LLC, an RXA studio company.
How Belle Tire saved 14% on hourly labor costs
Belle Tire sensed they were typically over staffing but were unable to forecast when it would occur. They also noticed periods of customer wait times when they were under staffed. Using the Weave Workforce demand prediction and scheduling software provided a step change of improvement in labor costs and profitability. Read more…
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