The client is a Fortune 500 company and a large contributor to the F&B category in India

Challenge

Generating New Product Development Idea using Consumer interaction (Images & Video) data.

Solution

Videos and Images collected from consumers on their daily life experiences. Deep Learning model applied on Image Processing → Feature Extraction → Feature Selection → Classification → Output (Findings) on preferred Consumer Patterns.

Impact

The client used this information to arrive at Top (#3) New Product Development Ideas for Testing with End-Consumers.

The client is a leading FMCG company and major player in the Food and Beverage space

Challenge

The company was looking for insights on Consumer Trends / Patterns in New Markets for Mothers and Teen Children.

Solution

Data mining from social media was the adopted approach. Using Open APIs of Twitter and Instagram a total of 9,500 Teen profiles and 8,700 Mother profiles were shortlisted to analyze their outdoor eating patterns. Further analyses was done using Image Processing, Sentiment Analytics and Classification using Unsupervised Machine Learning. Videos and Images collected from Open APIs from social media were mined for classes → #1. Vegan, #2. Drinks #3. Regular Meal with Family.

Impact

The client was able to use the findings/insights generated by CAInatics to devise their Market Entry Strategy.

Client Industry

Cool.AI Smart Visi-Coolers primarily cater to refrigerated perishable goods produced by Food & Beverage companies, wherein they can monitor the inventory and status of products inside the fridge.

Challenge

Provide insights into perishable stock levels, identify potential usage of cross brand products and optimize inventory management.

Solution

Our Cool.AI Smart Visi-Cooler features portable cameras equipped with AI technology, capable of capturing and GPS-tagging images. These images are sent to the cloud at scheduled intervals. Our tailored AI-driven Machine Learning algorithm processes images and metadata, extracting pertinent details of product SKUs within the Visi-coolers to ascertain stock availability.

Impact

• Tracks the fridge(Visi-Coolers) locations to alert clients to intervene where consumption levels are insufficient.
• Provides consumption visibility from the fridge (Visi-Coolers) kept at the retailer location to predict stockout.
• Provides valuable insights into brand level stocks by identifying potential usage of cross brand products to ensure Visi-cooler purity.
• Tracks movement and handling of fridge (Visi-Coolers) to prevent loss due to theft or carelessness.