Shelf Engine is a technology startup that offers an innovative solution to a significant problem in the grocery industry: food waste. The company operates in the grocery supply chain market, serving grocery retailers by optimizing their ordering process.

The company's primary service is an intelligent forecasting system that uses a store's daily sales data, along with real-world factors like local events, holidays, and weather, to generate accurate, profit-maximizing orders for each product every day. This system is designed to reduce the amount of food that goes unsold and wasted, a common issue in the grocery industry. For example, the company states that over 40% of deli sandwiches, 14% of fresh juice, and 35% of bread typically go to waste.

Shelf Engine's business model is based on automation. The company automates the entire ordering process, freeing up labor for tasks that add value to the customer experience. Orders are automatically submitted to suppliers, eliminating the need for manual SKU scanning, overriding CAO suggestions, or guessing games.

The company's solution not only reduces waste and increases efficiency but also helps to increase sales by reducing out-of-stock situations that can erode customer loyalty. By accurately forecasting customer demand, Shelf Engine helps grocery retailers keep their shelves fully stocked, which can lead to increased sales and customer satisfaction.

In terms of revenue, Shelf Engine likely operates on a subscription-based model, charging grocery retailers a regular fee for access to its forecasting and ordering automation services.

Keywords: Grocery Supply Chain, Food Waste, Intelligent Forecasting, Automated Ordering, Grocery Retailers, Profit Maximization, Customer Demand, Out-of-Stock Reduction, Subscription-Based Model, Customer Satisfaction.