AWS Bedrock AI Generative
Product rating by quantity/revenue and logistics seasonal demand with client sentiment analysis
Answer natural language questions like the seasonal demand and logistic route of the main clients for a specific product using ERP and database information. Also, the log information and clients´ sentiment analysis from WhatsApp messages and warranty repair documents to check the product quality.
Contact: fernando@luxsigma.info
AWS Bedrock
The traditional Artificial Intelligence described before are the following.
See the video case of study for each AI solution of Lux Sigma, in the youtube links here:
1) Logistic Route Planning: Classify the delivery points by GPS coordinates with Machine Learning
2) AWS Forecast: Build a predictor model to have values of future scenarios
3) Success prediction of marketing campaigns and fraud detector.
The data calculated by these AI processes feed an AWS Relational Database.
These data are loaded to AWS BedRock using AWS Appsync and GraphQL. Also, AWS Bedrock receives data
from WhatsApp clients' communication and warranty repair documents to answer natural language questions
like the seasonal demand and logistic route of the main clients for a specific product.
0) AWS Bedrock AI Generative: Product rating by quantity/revenue and logistics seasonal demand with client sentiment analysis
1) Logistic Route Planning: Classify the delivery points by GPS coordinates with Machine Learning
2) AWS Forecast: Build a predictor model to have values of future scenarios
3) Success prediction of marketing campaigns and fraud detector.
Contact: fernando@luxsigma.info