How image recognition reduces out of stocks and protects revenue

Key takeaways

• Stop brand switching. According to TELUS Agriculture & Consumer Goods research, 45% of shoppers switch brands when their preferred product is out of stock.

• Eliminate manual counting. AI image recognition software replaces error-prone data entry and finishes shelf audits in under seven minutes with 95+% accuracy.

• Act on real-time data. Image recognition AI delivers shelf audit reports in under 10 seconds so reps can resolve pricing and compliance issues while still in the store.

• The TELUS advantage. As a core feature of TELUS Retail Execution, image recognition identifies revenue-leaking gaps instantly, allowing your team to reclaim the shelf and protect your bottom line.

Executive summary

Manual field work comes with a high cost for consumer packaged goods companies. When your product is not visible at the moment a shopper makes a purchase decision, brand loyalty becomes irrelevant. Traditional retail execution relies on manual audits and data that is often days out of date. While field representatives count products by hand, customers make purchase decisions in seconds. Your reps should not spend their limited time counting gaps. TELUS Retail Execution uses image recognition to bridge this gap, helping teams move from reactive reporting to a proactive sales culture.

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Understanding image recognition in retail

What is image recognition software?

Image recognition is a technology that uses AI and augmented reality to identify products on a retail shelf. Instead of manual counting, field representatives photograph the shelves. The photograph identifies SKUs, shelf tags and promotional materials automatically.

How does image recognition work?

The software analyses digital images to recognize specific products and compare them to your official planogram. AI-powered analysis is able to generate compliance reports in minutes. This technology identifies critical opportunities where a manufacturer’s revenue is often left on the table.

Image recognition and strategic selling

Why are out-of-stocks dangerous for your brand?

For a VP of sales, an empty shelf is a direct hit to market share. Out-of-stocks do more than just lose a single sale, they break the consumer's habit and give competitors a free trial with your loyal customers. If a shopper finds a competitor’s product and likes it, you may never win them back. This creates a long-term loss in customer lifetime value that manual audits cannot catch in time.

Is peak demand magnifying your revenue loss?

Being out of stock is especially critical during times of peak demand. Imagine a shopper looking for frozen pie crust during the holidays or searching for a newly launched product they saw in a viral TikTok video. If you fail to meet that demand, your marketing spend is wasted and your retail partnerships suffer. Image recognition AI helps your team spot these gaps before the busy Saturday rush, helping you protect your high-stakes launches and seasonal peaks.

The speed problem: why manual audits prevent strategic selling

Manual audits create a systemic speed problem that directly impacts your bottom line. When reps spend hours each week counting products manually, they are performing non-revenue generating activities instead of building retail relationships or selling in new SKUs. This manual approach is inefficient, reactive and leaves your team data-heavy but insight-poor.

The clipboard trap

Traditional audits rely on data that can frequently be days or even weeks out of date. By the time a sales operation manager identifies a trend or a compliance issue from a manual report, the sales opportunity has likely already passed. This clipboard approach forces your team to fix problems after they have already cost you significant revenue.

Opportunity cost

Most FMCG sales teams walk into a retailer with a standard set of tasks, often spending just as much time on low-selling items as they do on their top earners. While field representatives count SKUs by hand, they are trapped in a reactive cycle rather than performing revenue-driving activities. 

By replacing these manual activities with instant digital analysis, your team stops guessing where to spend their time and starts focusing on the most valuable opportunities for incremental sales.

The revenue gap

Delayed reporting allows out-of-stock issues to persist during high-traffic windows. This not only erodes brand loyalty but creates a permanent gap in your annual revenue targets. Without real-time visibility, you cannot capitalise on early sales spikes or prepare effectively for seasonal demand shifts. Image recognition closes this gap by helping to turn store visits into data-driven wins.

Shifting from counting to closing: the role of image recognition

Real-time visibility

This technology gives your team instant visibility into what is actually happening at the point of purchase. Instead of waiting for data to be processed, AI image recognition provides a summary of the shelf in as little as a few seconds. This allows reps to see the full picture immediately and transition from basic data collection to closing high-value sales gaps.

Strategic selling with AI

AI-powered analysis generates compliance reports in seconds. This allows reps to address issues while they are still in the store. Using image recognition AI can help your team focus on the most important tasks.

4 ways image recognition drives high-impact sales visits

A smarter store visit: prioritizing action over data entry

The prescriptive visit

The system identifies exactly what needs fixing. It prioritizes actions based on bottom-line impact so reps know exactly where to start.

Prioritizing high-value shelf gaps

Consider a rep photographing the nut butter section in store. The system immediately flags your premium out-of-stock SKU, organic peanut butter, a missing end cap and a pricing error. Instead of the rep deciding what action to take, the software directs them to fix the organic peanut butter first to protect the highest-margin sale. This prescriptive approach helps provide that your best-selling items are always on shelf.

Offline intelligence

Strategic selling continues even in areas with no Wi-Fi or cellular service. On-device AI ensures field reps can still perform shelf audits and receive instant insights, regardless of the store's location or connectivity.

Productivity gains: measuring the ROI of image recognition

Audit time reduction

Photo analysis replaces manual counting. This gives reps back hours each week for customer-facing activities.

Total channel coverage

Scale visibility from supermarkets to convenience stores and independent retail. Measure product placements in bars, restaurants and cafes for consistent brand representation across every sales channel.

Comparing the impact of manual audits versus image recognition

Transform your retail execution with TELUS

TELUS Retail Execution helps you move from reactive reporting to a proactive, data-driven sales team. By leveraging image recognition, you equip your field reps to win on the shelf. This feature is powered by SoftServe Business Systems, a global leader with over 20 years of experience delivering advanced digital solutions for the FMCG industry and serving more than 100 clients worldwide. Together, we help businesses to collect reliable data fast through the power of AI and augmented reality and translate those insights into store-level action.

Ready to see image recognition in action?

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