Compare recent activity with practical historical patterns.
Crafta EWS · Private walkthrough
See costly sales and inventory changes sooner.
Crafta EWS turns scattered customer, SKU, sales, and inventory information into an explainable management review.
How it works
No manager can watch every customer and SKU every day.
Add customer, sales, inventory, and financial context.
Surface the issue and keep decision authority with people.
Example signals
The changes most likely to deserve a closer look.
The exact production signals depend on the fields, history, identifiers, and data quality available during technical discovery.
Customer purchase drop-off
Identify meaningful declines or stops in established customer-SKU behavior.
Inventory exposure
Bring slowing demand, units on hand, and working-capital context into one review.
Sales velocity decline
Compare recent movement with practical historical baselines and context.
A private walkthrough can also show unusual demand spikes and developing inventory risk.
What the example represents
A focused example, built with sample data.
See how a meaningful change moves from detection to a clear management review. The walkthrough is illustrative—not a live client deployment or an autonomous decision system.
Request a private walkthroughFree · 20 minExplore the use case
Could earlier warning change a decision in your operation?
Bring one example of a customer, inventory, purchasing, or operating change that became visible too late. We can test whether the pattern is worth investigating.
Book a free consultationFree · 20 minbrian@crafta.studio
