Ignatius Consulting aids industrial engineers and decision-makers in the distribution industry – both MHE integrators and distributors processing more than 25,000 order-lines of goods per day – by providing data analytics products that support decision-making.

We have a unique analysis process that dissects at your operation’s cubic-velocity, and segments your SKU-base accordingly. No other company does this. Segmenting your SKU base by cubic velocity identifies the best technologies and processes to use to maximize efficiency and return on your technology spend. Few other companies have the depth of experience in automated distribution technologies to know what to do with this information. We do.

Your eyes sometimes lie to you; the numbers never lie. We create perceptions in our head about things in our operation based upon what we see. Our eyes tell us we ship 35,000 cases per day. Our eyes tell us that “…that unit-load crane is down all the time.” The data corrects our vision. That crane is actually running 98.8% of the time; you just don’t notice it. You only remember the times the crane was not working. The data shows you only did 35,000 cases per day on November 15th, just before Christmas; you actually only run about 26,000 cases per day.

A solid analysis of your operational data is like a pair of new glasses that help you see clearly before rushing off and spending money. You must first know what is happening in your operation before you can figure out how to fix it. Before you call in material-handling suppliers to design a system to solve your distribution problems, you first need to have a handle on what's going on.

This explains what your business is all about. It should be between several sentences and a paragraph.

That’s where we come in.

Business advisory services, including:

  • Data analytics

  1. Order profiles

  2. Order history

  3. Pareto analysis

  4. Cubic velocity studies

  5. SKU segmentation on the basis of pick volume and pick frequency

  • Automated distribution design

  1. Return-on-investment modeling

  2. System concept specifications