The Value of Insights For Your Store Network.

“So how do you decide which store feedback to prioritize?”

It was a simple question posed to the central Store Operations team, yet the answers highlighted a common challenge:

• “It’s probably based on who we last called.”
• “Whoever is shouting the loudest.”
• “We don’t really get structured feedback from stores in a consistent way.”
• “We send out a survey. Probably 5 people respond to it.”

Capturing feedback from stores in a structured way—beyond just the compliance checklist of “yes” or “no” answers—was identified as a key pain point last year. To address this, we released our “insights” feature earlier this year. Here’s a look at how this tool is helping our clients unlock valuable insights from across their store networks.

The Power of Store Feedback

Our insights feature is helping retailers drive value in three main areas:

Understanding Process Failures and Root Causes By capturing store feedback in a structured way, retailers can better understand where processes are failing and why. For example, many stores receive Quorso missions for issues like gap scanning or lottery scan compliance. The captured feedback helps pinpoint root causes and provides in-the-moment training to improve workflows.A specialty retailer discovered that 27% of compliance failures were due to broken handheld devices, and another 43% were linked to confusion over how to submit a scan. These specific insights allowed them to make targeted changes in training and systems, resulting in a significant improvement in compliance within weeks.

Localizing Causes of Performance Drops Insights helps retailers quickly identify localized performance issues. For instance, one convenience chain noticed frequent availability issues with high-velocity SKUs. By analyzing store feedback, they discovered that a regional direct store delivery (DSD) partner had changed their delivery schedules, disrupting inventory levels. A quick phone call resolved the issue, preventing weeks of lost sales.

Improving Accuracy of Inventory Suggestions One common use case involves identifying phantom inventory through data alerts. A specialty retailer initially saw a 50% accuracy rate in the SKUs flagged by our system. By incorporating detailed store feedback, they were able to refine the alerts and increase accuracy significantly. Stores also provided valuable information about underlying causes, such as misreported inventory or misplaced items, which informed further adjustments.

Creating a Central Nervous System for Your Organization

Today, our clients are capturing millions of actions at the store level, creating a rich dataset that drives real insights and operational improvements. This data acts as a central nervous system, allowing teams to make better decisions faster and improve overall performance.