Transforming Retail Audits with AI: A Success Story

"Today we have access to data in real time, which is extremely valuable. Before, we had another provider that did not offer this reliability; despite the cost, we did not trust the information. Now, we have accurate and instantaneous data with total credibility."

Fernanda Marques

Trade Marketing Senior Manager - Allis Field Marketing

Allis, a top Brazilian trade marketing agency managing 25,000 SKUs monthly across 40,000 stores, integrated Ailet’s AI-powered Image Recognition (IR) solution for a leading CPG company. The result? Faster audits, real-time competitor data, and daily insights—reducing audit time by nearly 30%.

Obstacles to Overcome

The client, a major bakery and confectionery producer, struggled with another IR solution that only provided weekly data, often with delays of two to three weeks. Their previous solution lacked AI capabilities to automatically capture shelf photos, pricing, and competitor details. Field teams had no real-time access to POS insights, delaying decision-making. The followed process caused inefficiencies, inconsistent data, and missed opportunities to track promotions or competitor activity. Without automated image analysis, the client couldn’t scale audits or respond quickly to market changes.

Overcoming Adversity

Allis integrated Ailet’s IR solution into their audit platform, enabling AI-powered shelf scanning. Auditors now use mobile devices to instantly capture product photos, prices, and competitor assortments. The AI automatically analyzes images, eliminating manual data entry. Real-time dashboards provide immediate access to compliance rates, pricing discrepancies, and competitor activity. This eliminated guesswork for field teams and centralized data for management. Additionally, automation reduced human error and increased audit frequency from weekly to daily—without adding staff or costs.

Key Benefits for Stakeholders

Several improvements delivered a more efficient and effective operation:

Client: Reduced audit time by 29% (from 19 to 14 minutes) and gained access to daily insights.
Field Teams: Real-time POS data during visits enabled faster corrective actions.
Management teams: Centralized analytics on pricing and competitors supported faster strategic adjustments.
Allis: Enhanced service offering through AI-driven differentiation.
End Retailers: Improved shelf compliance and more consistent promotion execution.

Results

Following implementation, audits became 29% faster, with daily (vs. weekly) data. The client now tracks 100% of SKUs automatically, monitors competitors in real time, and resolves shelf issues three times faster. Allis strengthened its tech-forward value proposition, while the bakery and confectionery brand improved retail execution efficiency.

Conclusion

By embedding AI-powered IR, Allis transformed manual audits into a scalable, data-rich process. The result: smarter decisions, faster execution, and measurable ROI—setting a new standard for trade marketing excellence in retail.