On Shelf Availability

Pharos gives you the power to evaluate replenishment data such as timing, availability, demand forecasting, and delivery speed.

Inventory Decision-Making

Understanding in-stock, forecast accuracy, and other key replenishment metrics helps suppliers plan and execute. Visibility to these metrics allows you to quickly react and make decisions that drive growth through optimized on-shelf availability.

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In-Stock & Performance Issues

After a recent modular relay, Mariani Family noticed several items were selling well above forecast, leading to store-level inventory issues. With continued forecasting errors, the risk of out-of-stocks and missed sales became clear. Identifying the gap early helped protect availability and performance on shelf.

In-Stock & Performance Improvements

The Forecast & Inventory Dashboard provides a complete view of historical forecasts, sales, and future trends. It provides a clearly marked, easy to read layout that has all the data needed to spot and track a trend in forecast versus sales accuracy. The 12 weeks of historical data this dashboard provides creates a powerful tool to highlight forecast trends.

Making Corrections

Mariani was able to identify and communicate a trend of specific items outselling their forecast for several weeks in a row. Using this data, they were able to present rationale for adjusting the forecast to better align with sales. Increased forecast led to increased in-stocks which led to increased sales on these items. The dashboard also allowed Mariani to monitor the changes to make sure the corrections were enough to cover the gap as well as making sure the demand level remained in a healthy position.


Using Pharos for Forecasting

Pharos is built to help you maximize profit. Forecasts at all levels - daily, weekly, and monthly - give you a pulse on your business so you can always aim to meet customer demands and gain a competitive advantage. Pharos delivers these kinds of insights so you can make incremental changes to fully optimize your sales potential and fulfillment when needed.

Other examples

A few more case studies we've done.

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