4R Systems

Profit Optimized Inventory for Retailers

4R Systems Forecasting and Replenishment Solution Rolling Out to North America’s Leading Network of Travel Centers

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Pilot Company to implement 4R software in its stores to strengthen inventory management across its network.

BERWYN, PA, January 14, 2021 – 4R Systems, Inc., a leading provider of cloud-based machine learning & AI solutions that help retailers optimize their supply chain and merchandising decisions, announced that Pilot Company has selected its machine learning Forecasting and Replenishment Solution. Pilot Company is the largest operator of travel centers in North America, with more than 750 company-owned locations in the United States and Canada.
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Checking Your Vitals – Keep Your Finger on the Pulse of Suppliers

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Maintain Strong Supplier Relations with 4R’s Supplier Health Check

4R Systems introduced its all-new 4R Navigator – a suite of machine learning-powered analytics services designed to help retailers solve critical business challenges. 4R Navigator consists of four scientifically designed solutions that provide actionable insights with very fast results, and without the typical overhead costs. These solutions can be deployed and provide quick – but substantial – wins in as little as 3-6 weeks.

We’ve already taken an in-depth look at SKU Rationalization, Clustering Analysis, and Promotion Effectiveness. The fourth solution in the 4R Navigator service is called Supplier Health Check.

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Move Forward by Looking Back with Promotion Effectiveness

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4R Systems introduced its all-new 4R Navigator – a suite of machine learning-powered analytics services designed to help retailers solve critical business challenges. 4R Navigator consists of four scientifically designed solutions that provide actionable insights with very fast results, and without the typical overhead costs. These solutions can be deployed and provide quick – but substantial – wins in as little as 3-6 weeks.

We’ve already explored SKU Rationalization and Clustering Analysis. Next, we’ll take an in-depth look at the third solution – Promotion Effectiveness.

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Get an Aerial View with Clustering Analysis

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Recently, 4R Systems introduced the all-new 4R Navigator – a suite of machine learning-powered analytics services designed to help retailers solve critical business challenges. 4R Navigator consists of four scientifically designed solutions that provide actionable insights with very fast results, and without the typical overhead costs. These solutions can be deployed and provide quick – but substantial – wins in as little as 3-6 weeks.

We already explored SKU Rationalization and how it can help you navigate your assortment. To better comprehend what clustering is, it’s best to get an aerial view of your organization so you can see the bigger picture.
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Clearing the Way to More Retail Profit

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Removing the Risk, Increasing the Payoff in Your Omniretail Inventory.

No Risk, No Reward?

Enthusiastic investors and gamblers have one thing in common: they want to win BIG. However, trying to win big requires greater risk. With a higher risk, the chances of losing are also higher. Both the investor and the gambler dream of winning big, but often want to find ways to minimize the risk of losing.

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How AI & Machine Learning Make
Assortment Optimization More Profitable

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AI-based systems do not always make better decisions than humans. Find out why, and how to make sure your system is getting the best of both worlds.

Man vs. Machine

When it comes to Assortment Optimization, AI (artificial intelligence) and machine learning play a key part behind the scenes. While a human perspective helps, there are two important factors that make AI very important: scale and automation. For example, a large retailer with 1,000 physical stores and 10,000 products has as many as 10 million assortment decisions to determine which stores should carry which SKUs, what quantities, and when. Even though a significant portion of product offering is chainwide, that still leaves a formidable number of micro-decisions to be made. This amount of decision-making for humans is inefficient and not very profitable.

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