Quick Service Restaurants Find Big Cost Savings in New Staffing Software

Sales Temperature applies machine learning to give chains and franchises a precise sales forecast

DENVER, August 9, 2017

Within a month Sales Temperature garnered a 260% increase in customers in the restaurant industry. Quick service concepts, coffee shops and franchises including Dos Toros Taqueria, Dirt, Cold Stone Creamery, Papa Murphy's and more, are using Sales Temperature to significantly reduce unnecessary staffing, better predict their inventory needs, and drive efficiency in their restaurants. As a result of the company's extremely low-cost, simple-to-use software, restaurants have been able to open additional locations more easily, streamline scheduling, and precisely predict daily revenue and customer counts up to 14 days in advance.

Many restaurant owners struggle with the ongoing variations between a busy day and slow day. Staffing needs can be irregular, inventory and supplies can be inaccurate, and lots of wasted time goes into trying to manage and control this unpredictability. The situation gets more difficult as restaurant-owners open additional locations because they can each have different dining patterns, so managing the traffic flow properly is particularly time-consuming and challenging. Adding to the challenge are new regulations in some areas mandating employers provide employees' schedules two weeks in advance, which requires the restaurant owners to predict business needs much earlier than usual.

Restaurant chains such as Dos Toros - with a dozen locations in New York City - are solving this problem using Sales Temperature to forecast 7-day and 14-day outlooks right from their tablets and laptops. The cloud-based solution leverages machine learning to quickly analyze data from each restaurant location, and integrate it with constantly changing factors that affect the business at a micro-level, such as the day of the week, the weather, current events, holidays and other outside influences. The result is a precise daily forecast for each location's expected customer count and revenue up to 14 days in advance.

"The Sales Temperature forecast is spot-on accurate," said Oliver Kremer, co-founder of Dos Toros Taqueria. "Sometimes it'll make an unusual prediction and we'll think there's no way we're going to be that busy - we've never had a Saturday like that. But then, low and behold, it'll happen, just like Sales Temperature showed. This allows us to plan in advance for the spike, which would have caught us totally off-guard before. Because it uses machine learning the Sales Temperature forecast gets better and better the more we use it, which is extremely helpful as we plan for the opening of our 13th location this fall."

DIRT, a restaurant chain located in Florida with three locations, has also found success using Sales Temperature, particularly due to the weather forecasting data that is incorporated into the software.

"The variable nature of Miami Beach's weather has a huge impact on our restaurants, as does tourist season, holiday crowds, and myriad of beachside events," said Jeff LaTulippe, owner, DIRT. "Our downtown Miami location has different patterns, seasonality and operational needs than our Miami Beach locations and Sales Temperature helps us manage that variability while saving me time and operational costs."

LaTulippe estimates Sales Temperature has saved his business at least 10% in unnecessary staffing costs. He makes sure his store managers receive the daily Sales Temperature forecast each day, so they have easy access to an accurate estimate of the week's sales. Then the restaurant uses the data to schedule employees and determine the sales-per-employee-hour needed to ensure DIRT's profitability and growth.

Sales Temperature is available nationwide. The company offers a free 30-day trial for new restaurants that wish to test its effectiveness and accuracy within their quick serve, franchise, coffee shop, bakery or other restaurant environment.

About Sales Temperature

Based in Denver, Sales Temperature is a Microsoft BizSpark partner that leverages machine learning to integrate localized weather forecasts and other external factors to deliver a highly accurate and powerful small business-forecasting tool. The cloud-based Azure technology is simple to use and cost-effective, and helps businesses significantly reduce their staffing and operations costs and save extensive managerial time.