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25-34-year-olds are

21%

more likely to drink pumpkin coffees than the average consumer

Quick Insight

It's that time of year again... pumpkin spice is back. 🎃☕

 

According to Circana, 25–34-year-olds are the most likely to enjoy pumpkin-flavored coffee, proving the season's signature sip is going strong.

 

Are you team “too early” or “right on time”?

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Our Liquid Data® technology provides cross-industry data and advanced analytics in a single, open platform.

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Data and analytics for a single source of truth. 

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LIQUID DATA™ ESSENTIALS

When Your Data Speaks Retail

See performance the way retailers do without the need for a large team or budget. Built for small and mid-sized suppliers working with major retailers.

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CPG Demand Signals Report

Monitoring the impact of macroeconomic factors, including tariffs, on volume, price, and supply on U.S. consumer behavior within the CPG Industry. 

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Liquid Data Go® helps small to midsize CPG brands grow faster and dream bigger.

Understand complex consumer behavior with clear, accurate insights into omnichan…

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CASE STUDY

Uncover Service Gaps and Optimize Product Availability

Uncover Service Gaps and Optimize Product Availability

Snapshot

SOLUTION AREA

Supply Chain

SOLUTION

On-shelf Availability

INDUSTRIES

CPG

CLIENT

Manufacturer

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The Objective

A leading paper CPG brand faced puzzling in-stock declines at a key retail partner despite no product availability issues. The retailer’s footprint spanned the mid-Atlantic and Northeast, serviced by multiple distribution centers, complicating the root cause analysis

The Solution

The Solution

Using Circana’s Liquid Supply Chain, which delivers near real-time supply chain intelligence, the manufacturer quickly pinpointed the issue. They were able to:


Localize Insights: The manufacturer identified only two affected regions — both tied to the Northeast distribution center.


Detect Trends: They found other retailers maintained healthy inventory levels, but days of supply were quietly slipping due to service issues at the same distribution center.


Target Action: The manufacturer collaborated with the regional distribution center to improve service and worked with the retailer to temporarily increase safety stock until fixes were in place.


Get unmatched data granularity so you can spot inventory gaps, low days of supply, and risks before they impact sales.

The Results

Retailer in-stock rates rebounded. The manufacturer corrected distribution service gaps and restored confidence in supply reliability.

The Results
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Ready to apply this to your business?


Optimize inventory to capture peak-season demand and maximize sales. Let’s talk!


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Here are some other case studies that can help shape your future.

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Solution Area

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Solution Area

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Solution Area

Liquid Data Collaborate

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