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FMCG
Promoter Target Setting
A Machine Learning model to arrive at optimum targets at a agent level to maximise sales and optimise pay outs
FMCG
Trade promotion evaluation
Identifies ROI @ product/geo/trade scheme level - The XG Boost based model output is made actionable through a R.A.G tracker with insights for the trade team for future scheme designs
FMCG
Trade promotion optimization
The machine learning model identifies best fit schemes at a ‘product-geography level’ to optimize trade spends and maximize sales . The output is a play pen to aid scheme planning for trade marketing managers
FMCG
Suggested order module
Machine learning powered recommendation engine on products to be sold with the quantity on the next call at a retail outlet level integrated into the sales force automation tool
FMCG
DSM Outlet optimization
Manage agent/brokers incentive through our scheme recommender which optimizes the incentive to the sales generated
Entertainment
Single Source of truth creation
Using analytics algorithms & the power of the single source of truth – to identify store level performance & potential. Used by the client for customize promotions & incentive programs
Entertainment
Reporting and dashboard build
Aggregation of data from disparate data sources - structured, unstructured –across systems & processes to arrive at data marts for upstream analytics –reports and propensity models.
BFSI
Delinquency analysis
To work on single source of truth to test hypothesis & answer FAQ’s that emerge from business teams to aid decision making
Hospitality
Lead enrichment and prioritization
A ML model for Contact prioritization framework based on Lead information, interaction disposition and Agent information to arrive at leads to be prioritized with best fit agent
NBFC
Cross sell/Upsell
Unsupervised machine learning models to arrive at associations between fast moving leader brands-products & smaller brand-products . Aids in launching relevant consumer promotions
Entertainment
Customer experience score
Quantify customer experience using unstructured data across social media handles along with entities of impact
Hospitality
Cloud kitchen priority locator
Identify “Best fit” cloud kitchen locations @ a geography - ‘Affordability’ & ‘Accessibility’ being the key pillars
FMCG
Geo level product prioritization
Using combination of internal sales data and external market share data to identify opportunity product/product portfolio in specific geographies
FMCG
Distributor order recommendation
Distributor order recommendation Machine learning powered recommendation engine to suggest and automate ordering process for the distributor to ensure no stock out and safeguard ROIs
