Nudging Consumers for Good using AI

Gain valuable insight from transactional data of consumers based on behavioral embedding. Model future behavior using multiple facets to model utilization and purchase of products & services.

Suitable for: Retail, Travel & Hospitality and Public Healthcare.

Key Differentiators and Value:

• Amalgamation of AI & Behavioral economics. Models consider multiple facets of consumers’ behavior that drives their purchase and usage of products & services.
• Improves consumer satisfaction thus driving better consumer retention.
• Enables the seller for refocus of their products line based on current behaviors of consumers and opens up upselling / cross-selling opportunities.

Social Inferencing Engine

Inform business decisions with strategic insights gained through the understanding of consumer perception about products and customer support.  Monitor and model the impact of consumer sentiment via social posts, detect spam posts and demographic details in real-time.

Suitable for: Retail, Travel & Hospitality, BFSI, Manufacturing, ENU and Healthcare.

Key Differentiators and Value:

• Track your brands health against competitors or even focus on specific product attributes, occasions, or emotional engagement.
• Measure the results of live campaigns in real-time and tweak your strategy as needed.
• Evaluate effectiveness of events by tracking event related social media mentions.
• Weed out fake tweets and reviews from main analysis.
• Better target users through effective segmentation.

Conversational Smart Assistance

The Conversational Smart Assistance solution creates a better customer experience and enhances customer engagement. Predict best action for the customer, recommend product / solutions and create up-sell / cross-sell opportunities.

Suitable for: Enterprise Human intensive and Consumer facing processes across Industries.

Key Differentiators and Value:

• Automates repeatable process by taking inputs from customers and executing them without human intervention.
• Understands the conversation, generates insights & provides real time analysis. 
• Enables improved customer experience based on inputs from customers.

Holmes for Turstworthy AI

Builds trust in AI solutions by reducing bias, improving transparency, fairness in decision and helping in interpreting decision made by AI models.

Suitable for: Data Scientists and Chief Risk Officers for model validation and minimizing risks related algorithmic decision making.

Key Differentiators and Value:

• Reduce bias that tend to be ‘unfair’ for certain user groups (across religion, race, caste, gender etc.).
• Interpret decisions taken by model in a way humans can understand.
• Provides business levers to decision maker to review decision made by DNN models.
• Helps in building trusted Data Science models that provides insights into data biases.
• Model predictions & output maintain equal probability of Model Metrics leading to reduction in model bias.

Anticipatory Design

Learns and anticipate the customer journey in order to create a design that reflects the current context.

Suitable for: Direct-to-customer offerings like ecommerce offerings of a brand, financial services - wealth management, sales/services of insurance products, travel and tourism.

Key Differentiators and Value:

• Predicts the customer journey based on the current context for a mutually-beneficial, optimal outcome.
• Design which understands humans - the reimagining of design from static, pre-defined interfaces to a dynamic and context-driven one.
• Application of behavioral economics and nudge for improving customer loyalty.

Read further details on solution here