Update README.md (#608)

Author: swpng

retail-ai-suite/README.md

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 The Retail AI Suite is an open-source software framework designed to accelerate AI workload evaluation and hardware selection for point-of-sale use cases at the edge. It helps retail solution builders assess device configurations across Intel® product generations to enhance decision-making and reduce the total cost of ownership. Key use cases include:
-- [Automated Self-Checkout](https://github.com/intel-retail/automated-self-checkout): Product recognition (detection, classification, and tracking), full pipeline (product, weight, text, and barcode), age verification
-- [Loss Prevention](https://github.com/intel-retail/loss-prevention): Fake scans, items in basket, multi-product identification, product switching, shopper behavior (obscuring/hiding an item), event video summation
-- [Order Accuracy](https://github.com/intel-retail/order-accuracy): Order validation (product recognition), automatic prompting of add-ons and packing video summarization for recall.
+- [Automated Self-Checkout](https://github.com/intel-retail/automated-self-checkout): Product recognition (detection, classification, and tracking), full pipeline workflow (product, weight, text, and barcode), and age verification.
+- [Loss Prevention](https://github.com/intel-retail/loss-prevention): Fake scans, items in basket, multi-product identification, product switching, shopper behavior (obscuring/hiding an item), and event video summation.
+- [Order Accuracy](https://github.com/intel-retail/order-accuracy): Order validation (product recognition), automatic prompting of add-ons, and packing video summarization for recall.
 - [Performance evaluation](https://github.com/intel-retail/performance-tools?tab=readme-ov-file): An easily repeatable process for generating performance numbers across multi modalities on Intel’s heterogenous compute. The tool helps determine compute requirements for scaling retail edge AI workloads.   
 
-The Retail AI Suite is built with modularity and extensibility in mind. It is not meant to be used as a series of reference applications but code that can be used to understand the hardware requirements for embedding AI workloads into retail applications. The pipelines provide clear guidance on how to use Intel’s hardware optimized software stacks while primarily focusing on enabling partners to determine hardware for scale deployments. There are many more retail use cases under consideration. Additional details and documentation are available [here](https://github.com/intel-retail).
+The Retail AI Suite is built with modularity and extensibility in mind. It is not meant to be used as a series of reference applications, but rather as code to understand the hardware requirements for embedding AI workloads into retail applications. The pipelines provide clear guidance on how to use Intel’s hardware-optimized software stacks while primarily focusing on enabling partners to determine the hardware for scale deployments. There are many more retail use cases under consideration. Additional details and documentation are available [here](https://github.com/intel-retail).