Shelf Engine is a software platform that uses machine learning to help grocery stores optimize their ordering processes, aiming to minimize food waste and maximize profits. Shelf Engine leverages advanced data analytics to forecast demand and automate replenishment, ensuring that grocers order the right amount of perishable products.
How does Shelf Engine work?
Shelf Engine’s core solution analyzes sales data, store trends, and other relevant factors to generate precise order recommendations for grocers. By continuously adjusting its forecasts with real-time data, the platform helps stores reduce overstock and out-of-stock situations, leading to less waste and improved financial performance. The end result is a streamlined inventory process that benefits both store operations and the environment.
Who uses Shelf Engine?
Shelf Engine primarily serves grocery retailers and food service providers looking to improve their inventory efficiency. Notable customers include Compass Group, Buehler's, GM, and Hardings. The platform is designed to support stores of various sizes by integrating into existing workflows and delivering actionable insights.
How was Shelf Engine started?
Shelf Engine was founded by a team with a diverse mix of expertise in technology, retail, data science, and operations:
- Stefan Kalb: Co-Founder & CEO, previously started Molly’s and has a background in actuarial science.
- Bede Jordan: Co-Founder & CTO, with experience at Microsoft and degrees in electrical and software engineering.
- Ben Schmidlin: Head of Growth, brings 15 years in CPG and retail sectors.
- Austin White-Gaynor: Head of Data Science, former Macy’s analytics leader with a Ph.D. in Geosciences.
- Naomi Logan: Head of Product, former Microsoft PM with an MBA from UC Berkeley.
- Kurt Neish: Head of Engineering, experienced in startup environments.
- Adam Page: Head of Analytics and Operations, with a background in finance and quantitative risk.
You can learn more about Shelf Engine’s team and story on their About page.
What sets Shelf Engine apart?
Shelf Engine differentiates itself by applying machine learning specifically to the challenge of grocery inventory, focusing on perishable goods where waste is a significant issue. Their system’s continuous learning approach aims to deliver more accurate ordering recommendations than traditional manual or rule-based systems, helping stores both save money and operate more sustainably.
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