BackgroundOur client had an in-house team developing Al tools to support their strategic decision making. They knew they could make faster decisions on product pricing to beat their competitors and increase their market share. They wanted expert advice on creating a platform that looks at competitor pricing and other business signals to help determine their own product pricing strategy--even recommending products for certain B2B and B2C customers to maximize profits.
The challengeThe client needed to enhance their product profitabilty strategy. They wanted to leverage the power of Al and machine learning to ingest historical and competitive data, along with other buying signals, to intelligently determine the best price for products and product bundles to maximize profits.
The solutionRocketCode AI Services consulted with the client and developed AI pricing combined thanks to the depth of data and decision making power from their new Al pricing recommendation solution. With RocketCode, they're combining this newfound competitive edge with their web presence to serve hyper specific bundling and discount opportunities to customers
The resultWith RocketCode AI Services, the client saw an increase in product sales and bundled thanks to the depth of data and decision making power from their new Al pricing recommendation solution. With RocketCode, they're combining this newfound competitive edge with their web presence to serve hyper specific bundling and discount opportunities to customers
Tech and skills usedAI/ML, Deep Learning, Kubernetes, MLOps, NLP, Python, AWS, Azure, C#, Data Engineering, Data Science, and Test Automation
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Mexico City
