Check-in Types to Record Item History

Record Events to Build a History of Things

Everything you handle and produce has a history - where it came from and went, and what happened to it along the way.


Check-ins

ItemPath is a tool to track that history. To do this, it records events about your things at every step. In ItemPath those events are called "Check-ins."

Whether you want to track assets or materials that go through processes (transformations, combinations and such), there's a check-in type that handles recording that event.


Check-in Types

An item makes its first appearance as a Receive or a Create event (usually from something). From there, you can perform several actions on it -- like Move, Update, Combine, Empty, Convert, and Destroy. You can also Send and Return an item.

Tracking each item's events gives you a detailed and traceable history - from source to destination and every step in between.


Custom Attributes

ItemPath lets you enrich the traceable history with custom attributes that you want to know about your items. At a check-in, you can use your own custom fields to record whatever details you want about the item - from text fields to multiple choice, and calculated values. Using the built-in "Internet of Things" capability, you can automate the data that fills these fields by reading values from sensors and equipment.


Using the Detailed History for Analytics

With ItemPath's check-ins, you get some real benefits:

Detailed inventory: Know exactly what stock you have of everything in each location - and how long it's been there.

Traceability & Recall: Track each item back to its source including the components and ingredients. See where everything went.

Serialization: Each unique item is tracked individually.

Monitor Custom Attributes: Build a record of details about your items. Use that data to learn what happened.

Reporting and Analytics: Set your own filters and criteria to build intelligent reports about your items and their events.


With ItemPath, you can get a good handle on your things, knowing what you want about them. Using the historical and custom data you gather will help you improve in many ways.