Lenovo and C2RO AI Solution for End-to-End
Retail Analysis in the Physical Space
Improve Operational Efficiency, Targeted Marketing Campaigns & Increase In-Store Sales Performance

Summary
The use of AI in Retail allows companies to understand customer behavior, prevent theft and improve
performance by providing Retailers with accurate in-store analytics, but not all providers offer a solution that delivers results and respects people’s right to privacy.
C2RO ENTERA™ is the only patented 100% faceless AI-SaaS Video Analysis platform designed toprovide organizations a simple and effective method of understanding all aspects of in-store behavior including footfall, socio-demographics, highly complex journey analysis and product interactions
including potential theft/shrinkage scenarios.
ENTERA’s AI Video Analytics, which does not rely on biometrics, ensures that it never captures,collects, records, or analyzes personally identifiable information. The data it generates is in real-timeand specifically excludes any association with individuals’ faces or personal details. This strict adherence to European GDPR and Canadian PIPEDA data privacy laws guarantees full compliance whileproviding retailers with valuable insights for their growth.

Challenge
Many businesses that manage large numbers of locations have been seeking technology to allow themto monitor unique KPIs across the entire portfolio of locations in a centralized and automated manner
and with the powerful analytics capabilities that are available on e-commerce platforms in the digitalworld.
Adoption of computer vision and video analytics AI is hindered by strengthened data privacy regulations, high cost of scale out, and very low accuracy due to generic AI model usage. Gas stations face
a complex challenge at the pump and the retail store. They require a solution to better understandcustomer behavior, reduce drop out due to long wait times and at the same time they also need toincrease walk ins to maximize profits. Safety is also a concern from pump to retail store as they needto prevent theft and reduce equipment tampering.

Solution
Lenovo in partnership with C2RO offers a solution for a new class of ‘non-biometric’ video analytics AI
systems delivering comprehensive, accurate, and 100% FACELESS journey insights, detailedsocio-demographic breakdowns, and full-conversion funnel analysis including engagement and impressions. It seamlessly scales across thousands of locations around the globe, at an ultra-low cost,with full leverage of existing video security infrastructure and up to 10X savings on Edge investments.

This biometric-free solution uses a partitioned architecture to ensure both data privacy regulation
compliance and hyper-scalability. Proprietary CNNs are accelerated on x86 standard edge processing by strategically leveraging an AI toolkit provided by Intel® OpenVINO™ This dramatically reduces
solution CAPEX and greatly simplifies procurement.
Lenovo provides integrated Edge solutions for the enterprise customers, offering seamless integrationand trusted configuration tools and management.

Results
Advertising and Promotional Campaign Benchmarking
Retailers have the ability to quantify product engagement metrics, measure 1:1 advertising impressions& conversion rates, and link brand and sales/inventory data to visitors’ socio-demographic classes tomaximize the ROI for in-store promotions and align product inventory with regional trends.
• Faster TTM of new creative promotional rules with formal A/B testing metrics.
• Save costs by eliminating advertising campaigns that do not work
• Reduce printing spend or digital campaign buys
Queue Drop-out rate reduction and Increased Conversion Rates
Retailers can reduce queue wait times and dynamically allocate POS staffing based on real-time
quality of service metrics collected through-out the day.
• Increase customer conversion in the queue funnel by reducing wait times and negative experiences.
• Optimize staff and operations Adjust the promotional prices on the fly for all channels.
Real-time Demand Forecasting
Retailers can measure complex conversion funnels in real-time to understand in the moment
traffic/demand compared to historical demand. This is critical in fresh and prepared food applications.
• Optimize inventory to reduce waste and maximize sales for fresh and prepared foods.
• Analyse preparation tasks for duration and completeness for quality and streamlined operations
Identify tampering and shoplifting scenarios to reduce shrinkage
By combining journey sequences, physical product interactions, and specific transaction/inventory
metrics, retailers can identify patterns that lead to bottom line losses related to theft.
• Isolate customer / associate behavior in relation to product engagement and loss prevention• Isolate equipment tampering events and link them to security footage through dynamic AI-playback functions

Validated Architecture
C2RO ENTERA™ is deployed as a hybrid technology, with on-premise as well as cloud elements. The
cloud based elements allow for access to the anonymized and aggregated data via dashboard or software API for integration into customer owned BI or ERP tools.
The solution leverages existing customer videosurveillance infrastructures simplifying the deployment
at customer sites. No custom hardware is required. A Lenovo edge device connected to a network
switch with access to the internet and the cameras is all that is required.
The specific configuration is provided on a case by case basis, prior to deployment and the chosen
Lenovo Edge device depends on the KPIs required as well as the number of cameras to analyze atthe customer site. A typical deployment can use a ThinkSystem SE350 with an Intel® Xeon® D or aThinkEdge SE450 with an Intel® Xeon® Scalable processor with 4 or 8 cores or an Intel® X710-T2L.
Customers never access the edge device. It is not necessary. In order to access their site data, customers would access a cloud-based dashboard, or API provided data. C2RO ENTERA™ uses AI andmachine learning to analyze the accessed videostreams in real time. No videos are ever recorded. All
images are analyzed onsite, and no personal or private data is ever exported.

Edge

Design Components
Servers

CPUNetworking

SoftwareThinkEdge SE450

Intel® X710 T2L

10GBASE-T 2-port OCP
Ethernet Adapter

C2RO ENTERA™

ThinkSystem SE350

Intel® Xeon® D-2123IT
4C 60W 2.20 GHz

10GBASE-T 2-port OCP
Ethernet Adapter

C2RO ENTERA™

ThinkSystem SE350Intel® Xeon® D-2143IT
8C 65W 2.20 GHz

10GBASE-T 2-port OCP
Ethernet Adapter

C2RO ENTERA™

Resources•

Explore Lenovo’s AI Innovators Program•

Explore the Lenovo HPC and AI Innovation and Briefing Center•

Lenovo Validated Design for AI Infrastructure on ThinkSystem Servers•

C2RO Website•

C2RO Entera Product Page•

Lenovo Intel Alliance

Why Lenovo
Focused on a bold vision to deliver smarter technology for all, Lenovo is developing world-changing
technologies that create a more inclusive, trustworthy, and sustainable digital society. By designing,engineering and building the world’s most complete portfolio of smart devices and infrastructure, we arealso leading an Intelligent Transformation to create better experiences and opportunities for millions ofcustomers around the world.

Why Intel
Intel is at the forefront of developing new semiconductor technologies, products, and solutions as building blocks for an increasing smart and connected world across a broad spectrum of markets. Intel offers
a wide portfolio of products; Intel CPUs, GPUs, and FPGAs are flexible processors designed to handle
the most demanding types of workloads. Intel® Core™ processors are ideal for edge technology that
require low-latency such as AI at the Edge, Computer Vision with AI, robots, and drones. Intel® Xeon®
Scalable processors with the most built-in accelerators are the foundation for deep learning deploymentsfrom the data center to the edge. Intel also offers a vast ecosystem of software products like Intel®
Geti™, Granulate™ and OpenVINO™ to help protect your most sensitive data, improve performance andget more ROI from AI.

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