Generative AI is poised to reshape operations across industries, from food service to gaming. Here's how SaladStop! and Razer are leveraging the technology via Amazon Bedrock, a managed service by Amazon Web Services (AWS) that provides access to a range of pre-trained foundation models from leading AI companies.
Personalising meal suggestions
SaladStop! will be harnessing AWS’s generative AI solutions to deliver tailored nutrition recommendations across its 80 outlets globally.
Called LuLu, the generative AI chatbot leverages Amazon Bedrock for advanced conversational AI and natural language processing, Amazon SageMaker’s machine learning models and predictive analytics to deliver customised meal suggestions based on customers' dietary preferences.
LuLu analyses data points from popular ingredient pairings and past customer orders. This allows it to suggest meals that meet individual macronutrient needs, such as optimal carbohydrate, healthy fat, and protein combinations.
With this capability, customers can make informed decisions about their meals to help them achieve specific dietary needs and health goals, including weight management, muscle gain, or managing chronic health conditions.
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SaladStop! plans to launch LuLu in September. The company expects to see a 20% improvement in operational efficiency by optimising inventory and stock allocation. It also anticipates driving customer retention and repeat orders through a more convenient and customised ordering system, potentially doubling its online orders.
“Our customers want fast, engaging experiences when they order their healthy meals, and cloud technology [and Amazon Bedrock] has given us the power to deliver personalised and convenient ways to make eating well easier. This is the future of food; personalised nutrition made easy and accessible for everyone,” said Adrien Desbaillets, CEO of SaladStop!.
He also shares that LuLu could facilitate new business-to-business (B2B) partnerships with healthcare organisations. Such collaborations would allow these organisations to utilise LuLu to develop meal plans specifically tailored to patient needs, with SaladStop! then supplying those customised meals.
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Developed in six months, LuLu stems from SaladStop!'s participation in the Infocomm Media Development Authority's (IMDA) GenAI x Digital Leaders Programme with AWS. Through this initiative, AWS conducts tech discovery workshops, enhancing digitally mature enterprises' understanding of generative AI and providing advisory services to identify and prioritise use cases aligning with business needs.
IMDA recently announced an expanded collaboration with both AWS and Microsoft under the same programme at ATxSummit 2025. This expansion will double the number of tech discovery workshops and personalised tech deep-dive sessions. With access to pre-built generative AI modules and the latest tools, participating enterprises can expect to halve solution development costs and time.
Over 1,000 enterprises and up to 500 projects are projected to benefit from this initiative in the coming year.
Speeding up game development
Razer is putting generative AI to work in game development with a new quality assurance (QA) tool built on Amazon Bedrock.
Razer’s QA Companion automatically detects and logs bugs, crashes, and performance hiccups, allowing human testers to focus on gameplay experience rather than grunt work. Its seamless integration with QA teams will boost bug detection efficiency, shorten development cycles and improve overall game quality.
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Example of a Razer QA Companion bug report. Photo: Razer
Available as a plugin for Unreal, Unity, and custom C++ engines, the QA Companion integrates directly into existing workflows. It also comes with pre-built templates tailored to different game genres, reducing QA set-up time and the need for manual scripting. By accelerating bug detection and shortening development cycles, Razer aims to raise the bar for game quality while cutting time to market.
To further enhance QA Companion’s capabilities, Razer has teamed up with global gaming services and provider Side to co-develop advanced tools for automated QA testing aimed at improving efficiency and cutting time-to-market for developers and end-users.
Razer is also offering Game Assistant, an AI-powered in-game advisor built on Amazon Bedrock. The assistant offers real-time expert advice, personalised guidance, post-game analysis, and hardware performance insights. It can be trained on specific game genres and titles, and integrates directly into gameplay to elevate the player experience.
Example of a Razer Game Assistant match report. Photo: Razer
Both the QA companion and Game Assistant fall under Razer’s AI Game Developer Tools suite and are now in beta testing with a mix of AAA and indie studios.
Razer is expanding access to these tools by leveraging AWS’s secure-by-design infrastructure, enabling global scalability and empowering game developers to streamline workflows, boost productivity and accelerate development cycles.
“By combining our rapid prototyping capabilities with AWS’s cloud scalability, we are enabling the next generation of gaming creation and development. These tools will offer [game] developers a powerful, cost-effective way to scale, reduce time-to-market, and elevate player experiences,” says Quyen Quach, Razer’s VP of Software.
Gunish Chawla, managing director of commercial sector for Asean at AWS, adds: “Our collaboration with Razer showcases how building AI tools for gameplay coaching and QA testing on cloud can help studios innovate faster while maintaining quality, ultimately benefiting [game] developers and players globally.
