Aroodai builds Statistical & Machine Learning models for Retailers & eCommerce.
Our Client’s Stores
Our client’s retail stores are excellent examples of how our Data Analytics work significantly improved their financial returns and market share.
Retail Stores Singapore
Our Client’s 20 stores in Singapore held the record for highest number of footwear sold per square foot in the world.
Retail Stores Malaysia
Our Client’s 10 stores in Malaysia were the highest performing footwear stores per square foot in the world.
Lean Retail Labs Singapore
Our Retail Technology Lab was a center of retail technology innovation for our technology partners, the retail industry and the Singapore Government.
About Us
AROODAI PTE. LTD. Singapore started as an in-house data-analytics company to service retail businesses in Asia. We also worked closely with the Singapore Government, the Singapore Agency for Science, Technology and Research (A*STAR) and Deloitte Digital for their own Retail clients.
Our team built A.I. models to predict product sales, pricing & discounting, eCommerce traffic, customer behavior, marketing budgets & merchandise planning. To date, our A.I. models for our clients have generated millions of additional revenue and margins, and saved their businesses millions of dollars of stock and marketing costs.
Our Retail Data Science Models
Our Data Science Models have brought millions of dollars in value to our client’s Retail Businesses.
ECommerce Traffic Prediction Models for Retail eCommerce Teams
We are able to predict the daily traffic of 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 our client 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 our client 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 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 our client to match marketing spend with 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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Accuracy of Traffic Prediction Models
Retail Data
Here, you’ll find our datasets on which much of our sample codes are built. We are encouraging the community to explore these datasets and, hopefully, make use of them towards your own learning journey in data science.
If you are a retailer or data-scientist interested in what we do, feel free to contact us.
Kaggle
Here, you’ll find our datasets on which much of our sample codes are built. We are encouraging the community to explore these datasets and, hopefully, make use of them towards your own learning journey in data science.
Kaggle Havaianas Competition
The goal of this competition is to analyze our Client’s ECommerce data for several months of 2017. You will be given the real retail shopper data of platform Shopee and Qoo10. Our work will help Retailers better understand their business. With better insights and visualization, they can apply these tactics into business growth. And you will also have the opportunity to win the prizes sponsored by Aroodai.
Github
We are currently looking to share our work with the data science community at large by empowering a culture of sharing data and knowledge. Here, you’ll find some of our sample codes for performing analytics tasks from simple to powerful. Much of the data we’ll be using in these codes are available on our Kaggle page as well.
Aroodai Kaggle competition
Latest Data Science News on the Retail Industry
Our researchers find and post data science news on the Retail industry, and post them here regularly. You can search by Year, Topic and Company.
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Retail Hacking Newsletter – Issue #1
Keeping the retail industry updated with the results of several retail innovation experiments for the last 1.5 years.
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