Education Concepts

Understanding Trending Products

Calculating the average with the tracking signal A trend in K3S is shown using the tracking signal. The tracking signal is used to place more emphasis on recent history when a product is trending up or down. For products trending up, there will be a plus sign. So what does this do and why is it important […]

Spring/Fall Cleaning Batches

The batch jobs starting with Z or as we call them Z Batches provide a convenient way to monitor all of the products that have a Seasonal Profile set. Without these batch jobs, the arduous task of pulling up every product and checking to see if the Seasonal Profile is correct, would likely not get done very […]

The Buying Process

To understand what K3S does read our The Buying Process document.    

What are PE Checks?

Period End Exceptions The system will create up to 9 batches (PE1 – PE9) for you to review each time a period ends. The periods are weekly, monthly, or every four weeks. Batches PE1 through PE5 contain items that did not perform how we expected them to last period. Batches PE1-PE5 are vital if you […]

Understanding Product Usage and Seasonality

Demand Forecasting Demand Forecasting and Product Usage: We need to know how much product is demanded on average each period to know how much to order. Exponential smoothing: A forecasting technique that can be applied to smooth time series data and calculate accurate forecasts. This technique allows for fluctuations in demand without creating an overabundance in safety stock while maintaining high service level. […]

Understanding Safety Stock

Safety Stock is the level of days of extra stock of inventory that is maintained to avoid a stock out. The safety stock calculation can be seen for each product in K3S on the Product Details screen or Product History screen. If you click the Safety Stock Analyzer, you will see the twelve different calculations […]

K3S Best Practices

1. Verified data from customer site To guarantee results from our system, all customers will provide accurate data from their system 2. Proper supplier organization process is followed To help generate the best suggestions our system needs the definite characteristics of the vendor and products. This includes: verifying data, bracket levels, setting order cycles, and […]

The Demand Pattern (Composite Line)

The purpose of this example is to help the buyer understand how the composite line is built within the buying system. Below you will find a sample Product with three complete years of monthly history. If your company uses 13-four weekly forecasting instead of monthly forecasting, then you would follow the same processes as described […]

Time Supply

To learn how K3S-Replenish works, it will first be important to understand its use of time supply. Time supply represents a number of days of supply for a product or vendor. It considers your inventory levels using days as the unit of measure. If you know how many products you sell a day, then you […]

Lead-Time Forecasting

An important component of the suggested order is the vendor Lead Time. If you don’t know how long it takes you on average to receive your products from your vendors, how can you possibly order the correct amount? It is imperative to account for the time it takes to receive the order. Lead Time: The total amount of time between […]