Finding the sources of past retail performance and applying to the future.
Heat wave coming up and you don't want to run out of double chocolate chunk? With its sophisticated Machine Learning capabilities and key data sets, Sales Temperature seamlessly accounts for changes in the weather and its impact on your business.
A spike in oil changes and tire rotations the weekend before summer driving season starts? Sales Temperature allows you to anticipate revenue increases so you can have all hands on deck to minimize wait times and keep your customers happy and on the road.
Are customer counts and average ticket size key factors to your retail location's success? In addition to revenue and labor hours, Sales Temperature provides customer count forecasts to help you track and maximize your revenue per customer and sales associate.
The idea for Sales Temperature began 20 years ago when founder Jeff Wadsworth and his family purchased the first of two retail franchises. Shortly after the first grand opening, Jeff realized how important an accurate sales forecast would be to the success of their business. He set out to build the best excel spreadsheet the retail industry had ever seen. That effort was put on hold while Jeff spent the next 15 years building forecasting software for energy companies, during which time he worked with early Machine Learning tools. Jeff's wife continued to run the franchises and he watched her struggle to accurately forecast sales for upcoming labor scheduling and purchasing needs. Jeff realized that there must be a better solution and it was possible with Machine Learning! Sales Temperature was then born with the goal of providing: