Retail and CPG applications
Sparkflows provides powerful data analytics for Retail Use Cases.
Discover trends, predict outcomes, and make better business decisions.
Get more insight into the performance of your stores, products, customers,
and vendors — and use that insight to grow profits.
Data is the fuel that creates
power in the business of Retail Sector.
Sparkflows Use cases in Retail Sector
Sparkflows’ powerful self-serve solution provides great opportunities for retailers to take advantage of the customer data they own and turn them into actionable insights which in turn boosts up revenue.
Personalized Marketing/
Recommendation System
Customer
Sentiment Analysis
Locate a New Store
Customer Lifetime
Value Prediction
Market Basket
Analysis
Price Optimization
Price Optimizations
Price optimization means having the right price for both the customer and the retailer. This includes several online tricks and customer's approach. The data gained from multichannel sources is analyzed. This helps to define the buying attitude of a customer, season of purchase, flexibility of prices, the location of the customer and the competitors’ pricing.
Gather Data
Collate data using historical sales records, product inventory and market data
Set a Goal
Define the stategic goals and
constraints
Modeling and Training
Data Previously gathered is
use to train the Machine learning Engine
Execute
Execute the predicted price
across the world
Recommendation Systems
Retailers use this to integrate personalized recommendations based on their user's browsing history, past purchases, likes, and dislikes. Sparkflows helps retailers to create highly targeted campaigns.
.png)
Predict Customer
Behaviour and Preferences
After collecting the data, Sparkflows performs some exploratory data analysis to get an idea of the right model for the insight that we are looking for.
Provide
Recommendation
Once the model is selected, data is formatted by figuring out to deal with missing values, duplicates or other variables. The model is finally fine tuned.