Exalotus Consulting Private Limited

Retail is a highly competitive business. Retailers who combine art and science of retail get an edge over others. We offer consulting and solutions to do better with the support of analytics, adding science to work well with the art of merchandisers, planners and marketers. With our help, retailers make sense of the vast amount of transaction, customer and market data and use data-driven actions to do better for customers, stores and categories.Improved Demand and Better Supply Chain

Recommendation Engine for Personalized Campaigns: ExaLotus improves email, SMS or neighborhood marketing campaigns using predictive analytics to create personalized offers or smart matching of customers or offers. Such relevant offers increase response rate and loyalty. We use loyalty card data to recognize patterns of broader engagement or churn and use them in campaigns to increase customers' share of wallet.

Loyalty analytics: Retailers need to understand how and where the loyalty program is working to differentiate the proposition with hard and soft benefits. Analysis of earning and redemption of loyalty points, customer engagement with loyalty-based communication or promotion and use of micro customer segments helps in creating customer insights that drive customer-centric actions across functions.

Forecasting: Demand forecasts at the SKU or style level at a store improves in-store inventory and aggregate forecasts helps with purchasing and warehouse operations. We help clients with sophisticated forecasting, including separation of drivers of demand like seasonality, holidays, trend, price movements and promotion-driven footfall.

Replenishment optimization: We help clients implement analytics-driven automated replenishment from warehouses to stores or vendors to warehouses. Our advanced solutions identify inherent variability and other patterns of demand and supply to create systems which need minimal intervention.

Vendor Joint Business Plans: Strong partnership between retailers and suppliers helps optimize the offering for the customer. Our analytics-driven assessment of current performance and recommendations for joint focus is useful to increase the total business and appeal to different segments of customers.

Data Science is now being embraced by companies to gain an advantage in delivering high performance consistently. We use advanced analytics techniques that are customized to suit individual business requirements. We help with project objectives, problem definition, business requirements gathering, data requirements and data integration, analysis, insights and action. Our team partners with the business and IT functions of our clients.Data Analytics (Data Mining, Statistics, Econometrics, Forecasting):
We help clients make sense of their data and drive actions, using descriptive analytics and predictive analytics approaches. We create custom solutions for clients across sectors.

Optimization: We use mathematical programming (linear programming, integer programming, nonlinear programming) and heuristic methods to solve complex optimization problems for clients. Clients use them for recommendations which make complex trade-offs of competing priorities. Examples include logistics or replenishment optimization, cash optimization in financial sector, location decisions.

Simulation and Decision Analysis: We develop discrete event simulation models, static simulation models and probabilistic trees for decision analysis for clients to make decisions under uncertainty. Faced with significant uncertainty and critical decisions with medium to long term implications, these advanced analytics approaches help clients make choices from a reasonable number of possible solutions. Examples include process planning in manufacturing, business process improvement projects in service sectors like banks, credit cards, insurance, or other strategic decisions made by business leaders.

Manufacturers serve a large variety of retailers ranging from large retail chains to small stores directly and many more through wholesalers. With a large portfolio of products and stiff competition across all categories, manufacturers have recognized data as an asset. We help manufacturers analyze and predict at the store or SKU level to enable better execution.
Small Stores (General Trade)

We use store-level transaction data and manufacturer's information on brands and area demographics to increase revenue and streamline operations.

Recommendation System: Our predictive solution works at a store level by recommending relevant SKUs new to a store for cross-sell by the salesperson. Our data-driven recommendations integrate with the existing handhelds to bring about rich and consistent execution.

Forecasting: We help clients to forecast sales at store and distributor levels or create more aggregated forecasts at regional or brand levels.

Trade Promotions: We use rigorous analytics for promotions to increase ROI from large budgets: measure incremental impact, identify likely respondents for a promotion and design promotions which would appeal to particular segments.

Salesforce Optimization: Manufacturer use analytics to determine targets and frequency of store visits or intelligent systems for recommendations of SKUs and promotions.

Testing: Rigorous testing helps get the right insights from new product launches or any other changes to product or sales force.