Name: Shelf Engine
Author: Shelfbot Co.

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Shelf Engine is a grocery supply chain solution that, according to the vendor, helps grocery buyers accurately predict and optimize their daily orders for fresh items. Designed for grocery retailers of all sizes, from small independent stores to large supermarket chains, Shelf Engine aims to automate the entire ordering process, potentially reducing waste and increasing sales. This solution is used by various professionals and industries, including grocery retailers, convenience retailers, food manufacturers, food service operators, and distributors/wholesalers, to potentially streamline their operations and improve efficiency.

## Key Features

**Completely automated ordering**: According to the vendor, Shelf Engine aims to automate the entire ordering process for grocery retailers, potentially eliminating the need for manual scanning of SKUs or overriding suggestions. This automation may reduce human error and potentially ensure accurate and timely ordering, potentially leading to increased efficiency and cost savings.

**Intelligent forecasting**: Shelf Engine, as claimed by the vendor, uses intelligent forecasting powered by machine learning to potentially generate accurate predictions of customer demand for each product. By leveraging historical data and considering various factors such as local events, holidays, and weather, Shelf Engine aims to help retailers make informed decisions and optimize their inventory levels.

**Minimize stockouts**: Shelf Engine, according to the vendor, aims to help retailers keep their shelves fully stocked by accurately forecasting customer demand. This may minimize instances of out-of-stocks, potentially ensuring that popular products are always available and potentially leading to increased sales and customer satisfaction.

**Reduce shrink**: Shelf Engine's accurate demand forecasting, as claimed by the vendor, may help retailers reduce shrink and waste by ordering the right quantities of fresh items. By aligning orders with actual customer demand, retailers can potentially minimize overstocking and prevent perishable items from going to waste.

**Optimize grocery ordering**: Shelf Engine's grocery supply chain solutions, according to the vendor, aim to generate the optimal order for every SKU, potentially optimizing the ordering process for retailers. By taking into account factors such as product shelf life, inventory turnover, and sales patterns, Shelf Engine aims to determine the optimal order quantities.


Shelf Engine helps businesses increase sales by accurately predicting the perfect amount of perishable goods to order.

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Azure Machine Learning

The Entire Web Application

Small - 3 project slots -1200 credits

Medium - 10 project slots - 1200 credits

Large - 50 project slots - 1200 credits

Gavagai

Shelf Engine

Machine learning tools are algorithmic applications of artificial intelligence that give systems the ability to learn and improve without ample human input; similar concepts are data mining and predictive modeling. They allow software to become more accurate in predicting outcomes without being explicitly programmed. The idea is that a model or algorithm is used to get data from the world, and that data is fed back into the model so that it improves over time. It’s called machine learning because the model “learns” as it is fed more and more data.

Machine Learning

<p>Shelf Engine is a provider of an automated prediction engine that recommends what to order every day.</p><p>Launched in 2015, Seattle-based Shelf Engine handles the entire ordering process from vendor management to shelf optimization, saving retailers money and reducing risk by buying back any remaining unsold items.</p>

Shelfbot Co.

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What is Shelf Engine?