Why Does Product Release Still Take 3–5 Days?

Most cold chain teams assume release delays are unavoidable.
This diagnostic shows exactly where time is being lost and why.

 

Built for trust.  Backed by Intelligence

What This Diagnostic Is

This Is Not a Tool Demo

This diagnostic is a structured walkthrough of your current product release process — designed to surface:

  • Where manual work is hiding

  • Which alarms actually create risk

  • Where Quality time is being consumed unnecessarily

  • Which steps are policy-driven vs habit-driven

Most teams discover their release delays are caused by one or two structural issues, not dozens of small ones.


 

What We Assess

What we look at together


1. Data Consolidation

  • How many systems are touched during release?

  • Is there a single, trusted shipment record?

  • Where does manual reconciliation still happen?

2. Alarm Quality

  • What percentage of alerts lead to real risk?

  • How many investigations close with “no impact”?

  • Are alarms evaluated with context — or thresholds only?

3. SOP Application

  • Are SOPs operationalized or referenced manually?

  • Do different teams interpret them differently?

  • Are decisions consistent across sites and lanes?

4. Lane Intelligence

  • Do real shipment outcomes update lane assumptions?

  • Or are lane qualifications static?

  • How often do “expected” risks not materialize?

5. Release Timeline Reality

  • Where do days actually accumulate?

  • Is delay caused by review, investigation, or handoffs?

  • What work could safely disappear?


 

What You Get

What you walk away with


Within days, you’ll have:

✔ A clear map of your release workflow
✔ Identified bottlenecks by category (data, alarms, SOPs)
✔ A quantified view of false-alarm drag
✔ A shortlist of changes that actually reduce release time

No recommendations to “hire more people.”
No pressure to buy software.

Just clarity.


 

Who This Is For

This Diagnostic Is Best For Teams Who…


✔ Manage temperature-sensitive shipments
✔ Experience multi-day release delays
✔ Investigate many alarms with little outcome
✔ Want faster release without compromising compliance

If your release is already automated, contextual, and fast, you’ll know within minutes.


 

How It Works

How the Diagnostic Works


  1. 30–45 min working session

  2. Walk through your real release flow

  3. Identify friction points together

  4. Summarize findings and next steps

No prep required.
No system screenshots needed.
No obligation after.

Map Your Product Release Bottlenecks

Before adding another tool or process, understand what’s actually slowing you down. 

Big Flywheel

Frequently Asked Questions (FAQ)


What is cold chain decision intelligence?

Cold chain decision intelligence is the ability to automatically evaluate shipment data against SOPs, lane qualifications, and historical outcomes to support fast, defensible decisions.

How is cold chain AI different from decision intelligence?

Cold chain AI analyzes data. Decision intelligence applies that analysis to real operational decisions using defined rules and context.

Can cold chain decision intelligence reduce product release time?

Yes. By eliminating manual data reconciliation and false alarm investigations, teams can reduce release timelines without compromising compliance.

Cold Chain AI on Microsoft Azure