Our PROJECTS & RESEARCH
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Demand Map
Mapping Demand Across Location
➥ OBJECTIVE
Location-based demand forecasting in e-commerce and supply chain is essential for optimizing inventory distribution, minimizing stockouts, and ensuring efficient deliveries by analyzing demand patterns across different regions and mapping supply accordingly.
➥ OUTCOME
Involves development of an AI-driven Data Science application that provides a near real-time view of demand and its forecasts at any given location, empowering businesses with data-driven decision-making for optimized supply chain efficiency.
Data Pipelines for LLM
Culturally Adaptive AI Data
➥ OBJECTIVE
Designing data pipelines that ensure LLMs are optimized for regional languages, cultural nuances, and regulatory compliance to improve accuracy and relevance in diverse markets.
➥ OUTCOME
Developing an AI-driven pipeline that ingests, processes, and refines region-specific data while integrating local regulatory compliance (such as GDPR, CCPA, or India’s DPDP Act), ensuring scalable, bias-aware, and legally compliant AI solutions.
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SOIL HEALTH ANALYTICS
Smart Insights for Soil
➥ OBJECTIVE
Analyzing soil health through data-driven insights is essential foroptimizing agricultural productivity, improving resource utilization, and ensuring sustainable farming practices. By leveraging soil composition, moisture levels, and nutrient data, we enable precision agriculture to enhance crop yield and reduce environmental impact.
➥ OUTCOME
Involves the development of an AI-driven Data Science application that provides near real-time monitoring and predictive analytics for soil health, enabling farmers and agribusinesses to make informed decisionsfor improved crop management and sustainable farming.
