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LIS Team

Category: Retail

How Retail Audit Image Recognition Technology Is Transforming Store Compliance

Today’s modern retail is all about brands being the highlight of in-store presence through strategic product placements, promotional activities, and adhering to planograms with accuracy and precision. And Love In Store is surely one of the leading omnichannel service providers that promises to provide advanced Retail Audit Image Recognition Technology. 

They aim to provide seamless in-store execution with quick, transparent, and precise store compliance, thereby redefining the way brands track execution and measure performance across thousands of stores.

What is Retail Audit Image Recognition Technology?

Retail Audit Image Recognition Technology is an advanced AI-driven Image Processing system that helps capture real-time photos in-store. Ditching the manual audits, this technology helps:

  • Identify and confirm their presence across shelves. 
  • Check the share of shelf against planogram specifications. 
  • Monitor compliance of POSM materials, branding, and promotions.
  • Look through gaps or loopholes in real time. 
  • Further take data-driven decisions. 

Why Store Compliance Is More Important Than Ever?

Compliance is more than a checklist. To brands, it matters in terms of:

Why Store Compliance Is More Important Than Ever

  1. Sales performance: Products not at eye level or out of stock directly impact sales.
  2. Promotional ROI: Non-compliant displays reflects wasted budgets and lost engagement opportunities.
  3. Brand visibility: Inconsistent implementation negatively impacts the customer experience and brand image.
  4. Market competitiveness: Brands that command compliance have a competitive advantage over rivals who leave store presence to happenstance.

How Does Image Recognition Revolutionise Store Compliance?

Retail Audit Image Recognition revolutionizes Store Compliance in 4 key areas:

Image Recognition Revolutionise Store Compliance

1. Speed of Audits
Traditional audits involve physical verification and manual reporting. Retail Audit Image Recognition speeds up the audit process through mobile apps, completing it within minutes. 

2. Accurate Insights
The images captured, including SKUs, brand components, and planogram compliance, are compared to a predetermined standard, which helps maintain 100% accuracy. It helps identify gaps and loopholes instantly, improving further decision-making. 

3. Larger Scale Coverage
Thousands of stores can be monitored at one time. Whether in GT, MT, or malls, each shelf can be checked easily and effectively with actionable insights.

4. Data Insights
Real-time dashboards indicate gaps in availability, share of shelf, or promotional visibility. This allows rapid corrective action that directly defends sales.

Through the adoption of Retail Audit Image Recognition, both brands and retailers gain a measurable advantage:

1. Better shelf presence: Automated monitoring makes sure products are in the right place.

2. Improved promotional compliance: Campaigns execute as intended, optimizing ROI.

3. Data-driven decision making: Brands understand what's succeeding and where to make improvements.

4. Lower costs: Reduced dependence on manual audits reduces operational costs.

5. Quick remedial measures: Problems are highlighted in real time, enabling quick remedial measures during running campaigns.

Why Love In Store Is Leading This Change

Love In Store has been proudly partnering with top leading brands to adopt manpower expertise along with technology-enabled compliance. By incorporating Retail Audit Image Recognition with managed services, the company promises:

  • Real-time photo audits across 670+ cities.
  • Transparency of compliance tracking for merchandisers and promoters.
  • Uniform reporting dashboards that correlate in-store execution with sales performance.

Ensuring optimal transparency, accuracy, and seamless in-store execution, Love In Store comes out to be a go-to partner for brands striving for smooth retail execution. Partner with us today!