Client Case Studies
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Our Retail Store IOT Data Case Study
This case study of our client’s Singapore Orchard Road store was utilized by the Singapore Government to develop their A.I. supporting infrastructure for the Singapore retail sector.
Technologies Used for Our Data Science Work
Our Retail Data Science Models and Case Studies
Our Data Science Models have brought millions of dollars in value to our own Retail Businesses.
ECommerce Traffic Prediction Models for Retail eCommerce Teams
We are able to predict the daily traffic of our Retail eCommerce stores with 97% accuracy, resulting in a 20% decrease of stock allocation requirements.
Pricing & Discounting Calculators for Retail Accounting Teams
Our A.I. models are able to predict 79% of customer buying decisions based on pricing and discounting, saving us millions of dollars in wasted discounting decisions.
2023 Merchandise Planning Models for Footwear Distributors
Our deep learning A.I. model accurately predicts the sales levels of 1000’s of new footwear products from new catalogs, saving us Millions of dollars in overstock and understock problems.
Retail Sales Forecasting Models
Our Machine Learning models are able to predict the daily sales of our Client’s Brick-&-Mortar and eCommerce Stores with 90% accuracy, thereby improving the profitability of our Client’s stores by 25% through lower labor planning, stock allocation and merchandise planning.
Customer Purchase Behaviour Prediction Models for eCommerce Retailers
We are able to model how Customer Behaviour changes based on pricing, discounting, marketing and product selection, resulting in a decrease in our discounts by 50% and increase in our Client’s revenues by 20%.
Marketing Budget Calculators for Retail eCommerce Marketing Teams
Our Machine Learning Marketing Budget Calculator allows us to understand and quantify the relationship between marketing spend and resulting online customer behavior, traffic and conversion, allowing us to match our marketing spend with our sales targets. Results have reduced marketing costs by 10% and increased revenue by 20%.
Behind the Story
Data Analytics, Machine Learning and A.I. transformed our Client's Retail Businesses, and we are now sharing our data & predictive models with other Retailers & Distributors, and the community at large by empowering a culture of sharing & knowledge.
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Increased Revenue
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Decreased Discounts
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Decreased Overstocks & Understocks
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