AI Suites for Retail
AI Enabled Checkout
An Open-Source Initiative to accelerate the design, development and deployment of vision enabled checkout solutions. The reference implementation consists of optimised reference code (including microservices), performance data to determine hardware needs, and guidance on scalability.
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![AI Suites for Retail](https://d1qg7561fu8ubi.cloudfront.net/images/suites-for-retail-june-25-24-2.webp)
Retailers
- Removes vendor lock-in
- Quantify compute needs to scale and determine costs
- De-couple edge investments from the cloud
- Determine return on investment
ODMs and OEMs
- Provide an understanding of the growing computing needs for retail applications
- Develop hardware platforms to address retailers expanding business needs
- Use performance scripts to publish use case specific performance data
ISVs
- Provide performance with critical workload information to determine compute needs
- Use-case specific hardware optimized software modules
- Flexibility to ingest all or certain software ingredients
- Program once against a heterogeneous architecture
SIs and MSPs
- Provide the flexibility to deploy services in a distributed or monolithic manner
- Continuously monitor scale needs and deployment options
- Monitor model drift and perform edge training
- Update AI models
- Have a predictable model for application scaling
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Resources
Useful AI Suites for Retail assets and webinars to help build solutions and understand the technology stack available to develop, deploy and scale solutions.