Retail merchandising is no longer just about creating an attractive display. It is about making sure the right products are in the right place, at the right time, at the right price—and proving that execution happened.

That is why modern merchandising software solutions have become essential for retailers, CPG brands, distributors, and third-party service providers. The right platform connects planning, field teams, store-level tasks, analytics, and verification in one workflow.

But there is a new layer changing what merchandising software can do: AI-powered image recognition.

Instead of relying solely on employee checklists or manually reviewed photographs, retailers can now use AI to analyze shelf images, identify products, detect out-of-stocks, measure facings, and verify merchandising compliance. Movista's ShelfCheck AI brings these capabilities directly into retail execution workflows.

What is merchandising software?

Merchandising software is technology that helps retail teams plan, assign, execute, monitor, and optimize merchandising activities across stores.

Traditional merchandising processes often depend on spreadsheets, email, paper checklists, disconnected workforce systems, and manual audits. Modern merchandising software brings these activities together so teams can manage work from planning through proof of execution.

The most effective solutions typically combine:

• Merchandising task management
• Mobile workforce tools
• Scheduling and time tracking
• Planogram management
• Photo capture and sharing
• Real-time reporting
• Team and vendor collaboration
• Automation
• AI-powered shelf and image analysis

Movista describes its platform as a unified digital work hub for orchestrating, validating, and optimizing store execution.

That distinction matters because retail execution is ultimately about closing the gap between what was planned and what actually happened in the store.

Why merchandising software matters more than ever

Retailers and brands can have excellent assortments, promotions, and merchandising strategies and still lose sales when execution breaks down at the shelf.

Recent research illustrates the size of the problem. Coresight Research reported that 57% of U.S. retailers surveyed in 2025 estimated that out-of-stocks were responsible for losing at least 6% of gross sales. The same research estimated the potential sales gain from overcoming store inefficiencies at $162.7 billion in the U.S.

Meanwhile, IHL Group's latest research estimates that global inventory distortion costs retail approximately $1.7 trillion annually, with empty shelves representing the largest individual source of that loss.

The implication is straightforward: better visibility into store conditions can have a direct financial impact.

That is where merchandising software—and increasingly, AI—comes in.

9 features to look for in merchandising software solutions

1. Easy merchandising planning

A strong merchandising platform should make it simple to turn a merchandising strategy into actionable store-level work.

Teams should be able to distribute planograms, instructions, photographs, documents, and other execution requirements directly to the people responsible for completing the work.

Planning becomes much more valuable when it connects directly to execution. Movista's original merchandising software framework emphasizes this connection, allowing teams to plan merchandising activities while giving field employees the information they need at the store level.

2. Mobile task management

Retail work happens in stores—not behind a desk.

Mobile task management allows employees and field representatives to see assigned work, access instructions, complete tasks, capture information, and communicate with managers from their mobile devices.

The result is a more connected workflow between corporate teams and the people actually executing merchandising programs in stores.

3. Optimization and automation

Merchandising software should do more than record completed work. It should help managers determine how to improve it.

Modern platforms can analyze factors such as time on task, mileage, completed work, employee availability, and store requirements to improve scheduling and field operations. Movista also offers AI-powered optimization for territory planning, routing, and scheduling.

Automation reduces administrative work while helping managers allocate resources more efficiently.

4. Photo capture and visual verification

Photos have long been an important part of retail execution because they provide visual evidence of what happened in a store.

Field teams can capture shelf conditions, displays, promotional setups, and other merchandising activities and share those images with managers for review.

But photo capture alone is no longer the end of the story.

The next evolution is using AI to understand those images automatically.

5. AI-powered image recognition

What is image recognition in retail?

Retail image recognition uses artificial intelligence and machine learning to analyze store photos and extract information about products, shelves, displays, pricing, and merchandising compliance.

Instead of asking a manager to manually inspect thousands of photos, AI can analyze images and flag potential issues.

Movista's Photo AI and image recognition capabilities can identify products on shelves, out-of-stocks and voids, pricing and label compliance, display and promotional execution, and share of shelf and facings.

This transforms a photo from simple proof of work into a source of structured retail intelligence.

How does ShelfCheck AI work?

Movista's ShelfCheck AI can operate with or without a planogram. Teams can use shelf images for analysis or compliance checks, while the system provides a virtual checklist of changes that can improve on-shelf execution.

That creates a powerful workflow:

Capture → Analyze → Identify → Act → Verify

A field representative captures a shelf image. AI analyzes the image. The platform identifies potential execution issues. The team takes corrective action. The shelf can then be checked again.

Instead of treating auditing as a separate process, AI makes verification part of the merchandising workflow.

6. Real-time transparency

Retail leaders need to know what is happening in stores now—not several days after a visit.

Modern merchandising software provides visibility into task status, employee activity, store conditions, photos, and other execution data. Movista's platform combines store tasking, scheduling, data capture, reporting, and workforce management to provide real-time visibility into retail work.

When AI-generated shelf insights are added to that workflow, managers can move from asking "Did someone visit the store?" to asking "What is actually happening on the shelf?"

That is a much more valuable question.

7. Planogram and merchandising compliance

A planogram is only valuable when it is executed correctly.

Merchandising software can distribute planograms and incorporate them into store workflows. AI adds another level of verification by comparing what appears on the shelf with expected merchandising conditions.

Movista's image recognition capabilities support automated compliance analysis, while ShelfCheck AI can be used for planogram-based compliance checks.

This can help teams identify misplaced products, missing products, shelf gaps, and other execution problems faster.

8. Collaboration across teams and partners

Retail execution often involves multiple organizations: retailers, CPG brands, distributors, merchandising agencies, and third-party field teams.

A merchandising platform should provide a shared environment for communicating instructions, assigning work, sharing information, and tracking completion.

Movista's platform is designed to connect store and field teams while supporting collaboration with vendors and third-party teams.

AI-generated evidence can strengthen that collaboration by giving stakeholders a common, visual source of truth.

9. Analytics that turn execution data into action

The best merchandising software doesn't simply collect data—it helps teams understand what the data means.

Leaders should be able to identify recurring out-of-stocks, compliance problems, execution gaps, productivity trends, and location-level performance.

Image recognition makes this data even richer. Instead of reporting only that a task was completed, teams can potentially understand what was present on the shelf when the task was completed.

That creates a more complete picture of retail execution: work performed + shelf condition + compliance + outcome.

The future of merchandising software is intelligent retail execution

The evolution of merchandising technology is moving from task management to intelligent execution.

The first generation helped retailers digitize paper processes. The next generation connected workforce management, scheduling, tasking, communication, and reporting. AI-powered image recognition adds another critical capability: understanding the physical retail environment at scale.

That matters because store-level reality is where retail strategy ultimately succeeds or fails.

Research from IHL Group and Brain Corp found that fewer than one in four retailers surveyed achieved 80% or greater accuracy across key shelf metrics such as on-shelf availability, planogram compliance, and promotional execution. Half reported lost sales resulting from inventory accuracy issues.

The opportunity is to replace delayed, subjective, fragmented store intelligence with faster and more objective visibility.

Movista's ShelfCheck AI and Photo AI capabilities are designed around that opportunity—combining image analysis with retail execution workflows so teams can capture what is happening at the shelf, identify issues, and take action.

Frequently asked questions about merchandising software

What is the best merchandising software?

The best merchandising software depends on a retailer's specific needs, but enterprise-grade solutions should generally include task management, mobile execution, scheduling, collaboration, analytics, photo capture, planogram workflows, automation, and AI-powered verification.

What does merchandising software do?

Merchandising software helps teams plan, assign, execute, verify, and analyze retail merchandising activities across stores. It connects corporate plans with store-level execution.

How does AI improve retail merchandising?

AI can analyze store images to identify products, out-of-stocks, shelf gaps, facings, pricing issues, displays, and merchandising compliance. This gives retail teams faster and more consistent visibility into store conditions.

What is ShelfCheck AI?

ShelfCheck AI is Movista's AI-powered shelf analysis capability. It can work with or without a planogram to analyze shelf conditions, conduct compliance checks, and provide a virtual checklist of changes needed to improve execution.

Why is on-shelf visibility important?

On-shelf visibility helps retailers and brands identify execution problems such as out-of-stocks, misplaced products, and merchandising noncompliance before they translate into lost sales or poor shopper experiences. Current industry research continues to show the significant financial impact of inventory and shelf execution problems.

From merchandising management to shelf intelligence

Merchandising software has evolved beyond simply helping teams complete tasks. The most powerful platforms connect people, processes, data, and AI to create a continuous feedback loop between retail strategy and what shoppers actually see.

For retailers and brands, that means a better question is no longer just:

"Did the merchandising task get completed?"

It is:

"Was the shelf executed correctly—and how quickly can we fix it if it wasn't?"

With unified retail execution software and AI-powered image recognition, teams can get closer to answering that question at scale.

Movista brings merchandising execution, workforce management, real-time visibility, and AI-powered shelf intelligence together in one platform—helping retail teams move from simply managing work to continuously improving what happens at the shelf.

The future of merchandising isn't just better planning. It's better visibility, faster verification, and intelligent action at the shelf.