Optimizing in-store experience and efficiency with AI-powered retail analytics

95%+
anomaly detection success rate
3x
increase in data processing scalability
~20–30%
operational cost savings
Optimizing in-store experience and efficiency with AI-powered retail analytics
We enhanced an AI-powered SaaS analytics platform for retail, optimizing store layouts, improving conversion rates, and preventing losses through real-time data insights.
Industry:

Retail

Location:

Germany

Team Size:

6 engineers

Duration:

2 years-ongoing

Technologies
Python
Oracle
S3
EC2
CloudFront
Google Compute Engine
TensorFlow
XGBoost
Scikit-learn
01

About the client

Our client is a Germany-based technology provider offering an AI-powered analytics SaaS platform for global retail businesses. Their solution helps retailers enhance store productivity and elevate the in-store customer experience through real-time data insights. Their solution optimizes store layouts, monitors conversion rates, prevents losses, evaluates marketing performance, and tracks staff efficiency. To ensure continuous improvement, they needed a reliable tech partner to maintain and enhance their platform’s capabilities.

Optimizing in-store experience and efficiency with AI-powered retail analytics
02

Challenge

The client faced several challenges in refining their analytics software. They needed a system that could seamlessly process large amounts of in-store video data, generate actionable insights in real-time, and integrate smoothly with existing retail systems. Additionally, they sought to improve loss prevention and marketing effectiveness while ensuring high security and accuracy in data processing.

03

Our Approach

We assembled a dedicated team of 6 experts who worked closely with the client’s team to enhance the platform’s core functionality and expand its AI-driven tools. Our work focused on developing modular solutions that enable retailers to digitize store operations, interpret customer behavior, and drive strategic decisions based on real-time analytics.

04

Project Overview

Marketing Intelligence Tool

The solution we worked on analyze in-store shopping behavior and historical patterns to create targeted marketing campaigns. Tracks campaign performance and key retail KPIs like store traffic, conversion rates, and revenue impact.

Retail Management Tool

This module provides recommendations for optimizing product placement and overall store navigation to improve customer engagement.

Merchandising Optimization Tool

Assesses the effectiveness of various product displays and layout strategies. Supports A/B testing and design improvements based on real customer movement and interaction patterns.

Operations Management Tool

Tracks staff performance, evaluates service quality, and identifies workflow bottlenecks. Helps reduce operational costs while ensuring optimal employee productivity and customer service standards.

Loss Prevention and Compliance

Leverages real-time surveillance footage and transaction data to detect anomalies, prevent fraud, and ensure regulatory compliance. Generates automated alerts for suspicious activities.

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05

Output

The enhanced solution integrates seamlessly with existing retail systems, transforming surveillance footage into valuable insights on store performance, customer demographics, and key business metrics.

06

Results

Through our collaboration, the client’s solution continues to empower global retailers with cutting-edge tools for digitizing and transforming their businesses. The platform now enables businesses to make data-driven decisions, improve efficiency, and enhance customer experiences at scale.

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