This document summarizes a data science talk that covered the following topics:
1) An introduction to data science, including what it is, where data comes from, and who uses it. Data scientists use skills in math, statistics, programming and domains to model data, experiment, validate models and deploy solutions.
2) Examples of data science applications at Roadrunnr to minimize delivery times and costs while improving reliability, such as optimizing multi-drop grouping logic for deliveries and predicting demand patterns.
3) Future data science projects at Roadrunnr, including surge pricing, wait time prediction, carrier selection, driver fraud detection, and product size estimation with images.
12. Use data as a raw input to develop products to:
• Minimize Estimated Time of Arrival (ETA)
• Improve Reliability
at minimal Costs
VALUES
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13. Multi Drop Clubbing Logic
• Improve the multi drop grouping logic to:
• Reduce number of touchpoints/order (5-15%)
• Reduce distance travelled per touch point
• Increase driver satisfaction
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14. Existing Multi Drop Logic
HUB
Red Cluster can be done away with in this scenario
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16. How to Achieve Ideal Clubbing?
HUB
D1 < D2
Join two points which have minimum distance between them
• Joining two points
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17. Joining Two Groups
• Join on the basis of shortest distances and not center distances to
achieve ideal clubbing
HUB
• S1, S2 shortest distances
• C1, C2 center distances
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20. Algorithm Limitations
• Sub optimal solution due to accuracy vs complexity trade off
• Performance limited by accuracy of Lat,Long of drop points
• Not optimized for size and weight of shipments
• Routing not included as a part of this version (V2)
• Considers only bike as a carrier (V2)
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28. Demand Prediction(Future Work)
Category specific demand
Prediction for smaller clusters rather than localities
Prediction over smaller intervals
Stock-out incorporation
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29. Data Science Future Projects
Surge pricing
Wait time prediction for food orders (deployment pending)
Carrier Selection (Extension of multi drop logic)
Driver Fraud detection
Product size estimation using image
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