Trade Pattern Analysis for Future Business Strategy Overview Analytical approach to identify the trade pattern of an organization and compare it with the peers so that the organization can define the strategies to tackle the competitors and also improve the top line. Solution Approach Based on the organizational trade data along with the peer's data, we could come up with various clusters of identified business attributes. The various clustering techniques used are - K-means, t-SNE (t-distributed stochastic neighbor embedding), DBSCAN (Density-Based Spatial Clustering of Applications with Noise), etc. Advantages It helps in identifying the strategies & compare them with those of peers. Helps to identify the strengths and key areas of improvements vis-a-vis those of the peers. Helps in planning and inputs for financial budgeting Latest Blogs 23Mar 2020 Weather Forecast Industry using Artificial Intelligence to help Governments to be ready 17Mar 2020 Artificial Intelligence will transform business models of Financial Services industry in 2021 17Mar 2020 What may go wrong with your Artificial Intelligence Projects? Top 6 reasons for failures in AI!