Smart Suggestions - Part I

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Driver navigation systems for last-mile shipping efficiency Mid-term Presentation | Sricharan Chiruvolu | BL.EN.U4CSE12505

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Company Overview 2

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• Hyper-local logistics service. • One of the largest ﬂeet of delivery drivers. • Merchant and driver platforms. • B2B. Food, Groceries…11 others. • 25000 orders a day. • McDonalds, Pizza Hut, KFC…4000 others. • Tech Stack: Rails, MySql, MongoDb, Redis, Angular, Android, Scala, NodeJS and Django. 3

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Tasks and Projects 4

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Tasks and Projects 1. Driver reassignment by merchants for a live order. 2. Driver navigation to last-mile customer location. 3. Smart suggest for drivers. 4. Order stockout analytics ﬁxes. (End-term presentation) 5. Cross locality preferences analytics. (End-term presentation) 5

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Driver Reassignment 6

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Driver Reassignment • Add an option for the merchant to reassign the driver for an order during cancellation. • Decrease the number of cancellations. • Assign to the next nearest free driver. • Reasons for reassignment: 1. Delivery driver refused to come. 2. Driver didn't come for a long time. • Reassignment workﬂow. 7

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start stop Reassign Order? active_leg? && next_driver_available? && correct_cancellation_reason? Cancel Order Order reassign to next free driver active_leg? Cancel Order? Error Message No No Yes Yes

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Driver Navigation to Customer Location 9

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Driver Navigation • Last mile navigation. • Capture customer location. • Send customer location for a live trip. • MQTT(MQ Telemetry Transport) and GCM (Google Cloud Messaging) protocols. 10

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Last-mile navigation 11

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MQTT activity at Runnr 12

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Smart suggest 13

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Smart suggestions • Demand - supply gaps in localities. • Demand prediction and supply input. • Calculating demand and supply percentile. • Surge pricing prerequisite. • Driver application and operations dashboard views. 14

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Smart suggest on operations dashboard 15

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Smart suggest on driver application 16

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Smart suggest on driver application (ofﬂine ﬂow) 17

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Next… • Stockout data ﬁxes: • Find stockout orders and predict stockout quotient. • Cross-locality orders: • Cost prediction (machine learning) 18

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Thank you. 19 NAME SRICHARAN (BL.EN.U4CSE12505) EXT. GUIDE Mr. MUKUNDA & Mr. MOHIT AGARWAL INT. GUIDE Ms. SANGITA KHARE