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Mahindra Logiquest 2018 – NMIMS

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Presentation on theme: "Mahindra Logiquest 2018 – NMIMS"— Presentation transcript:

1 Mahindra Logiquest 2018 – NMIMS
The Brain Trust Surabhi Deshmukh Aneesh Fernandes LAST MILE DELIVERY!!!

2 Current Standing Solutions / Opportunities Challenges

3 THE REASON FOR US BEING HERE……
Retail e-commerce sales in India from 2016 to 2022 (in million U.S. dollars) GROWTH NUMBERS Source: Statista 2018 CURRENT SIZE OF THE INDUSTRY 2018 ESTIMATED SIZE OF THE INDUSTRY 2020 28% Revenue growth US$160 billion US$215 billion 42% Profit after tax growth Source: Economic Survey Source: MLL AR REVENUES PAST 12 MONTHS ( ) BREAKDOWN OF PERCENTAGE REVENUE FROM OPERATIONS 2018 V/S 2017 % REVENUE BY SEGMENTS ₨ 3416 CRORE Source: Economic Survey Source: MLL AR VISION FOR REVENUE OF MLL BY 2021 ₨ 6000 CRORE SCM BUSINESS PTS BUSINESS Source: MLL AR Source: MLL AR

4 Opportunities for Last Mile Delivery in India
01. Crowdsourcing model 02. Locker System Focus on challenge: Poor vehicle utilization Focus on challenge: Poor vehicle utilization, Confusing addresses, failed deliveries 03. Performance Evaluation of Delivery Associates 04. Customer Coordination Focus on challenge: Confusing addresses, Training of delivery staff Focus on challenge: Confusing addresses, failed deliveries 05. Dynamic Route Planning Focus on challenge: Poor vehicle utilization, traffic

5 Current Standing Solutions / Opportunities Challenges

6 Challenges in Last Mile Delivery
Performance Parameter Factors Responsible Cost minimization Fuel consumption Vehicle operating cost Total costs per kilometre Distance travelled per item Storage and freight forwarding costs Warehouse costs Traffic in urban areas Government regulations Timely delivery/ availability No. of deliveries made on time as a percentage of total deliveries Lack of logistic infrastructure Confusing addresses Multi-point distribution in villages Increasing productivity No. of deliveries per day No. of deliveries per route No. of deliveries made on time Planned v/s actual no. of stops On-time pick-up Poor vehicle utilization Fleet utilization Percentage of vehicle capacity used Percentage of fleet capacity used Disparity in nature of retail outlets Inefficient route planning Improper space utilization Frictionless delivery Tracking of consignment Successful delivery in first trip Returned consignments No. of misplaced/ missing consignments Lack of technological soundness Thefts Training and coordination with the delivery staff Handling ad-hoc requests

7 Understanding the market
Methodology: Identification of challenges through primary and secondary research Identification of factors contributing to last mile delivery challenges Primary research through survey for prioritisation of factors contributing to challenges Ranking of factors by priority scores assigned to each factor Pareto analysis by considering no. of times each factor assigned highest priority

8 Primary Research Conclusion:
The main factors to be focussed upon in order to tackle last mile delivery challenges: Poor vehicle utilization Confusing addresses Training of delivery staff

9 Current Standing Solutions / Opportunities Challenges

10 01. Crowdsourcing model 02. Locker System
Nature of consignments: Small Volume, B2C Model: Collaboration with local courier services/ India Post What’s in it for them? Additional revenue What’s in it for MLL? Timely deliveries, Better utilization of vehicles Recommended implementation: High density urban areas Nature of consignments: Small-Medium Volume, B2C Model: Lockers in central distribution system What’s in it for customers? Timely deliveries, Discount benefit What’s in it for MLL? Improved efficiency and performance Recommended implementation: High density regions in cities MOST EFFICIENT FORM OF DELIVERY Deliveries through fixed spots fastens the entire last mile delivery process. 10 times more deliveries per person in the same day are possible STORE THE SHIPMENT FOR A FEW DAYS The Locker System terminal can store parcels safe and secure for few days, until the customer finds time to pick-up the same REDUCING OPERATIONAL TIME & COSTS The Locker System helps in reducing operation time and cost while streamlining the last mile delivery process in efficient manner REDUCE RETURNS & RE-ATTEMPT The Locker System provides the fastest way to return parcels. Once the return by customer is initiated, all they need to do is walk up to the chosen Locker terminal and drop the parcel. No more coordination required from either side FASTER COD SETTLEMENT The Locker System provides for multiple electronic payment options at the terminal which help receive payments faster and reduce your DSO.

11 04. Customer Coordination
03. Performance Evaluation of Delivery Associates 04. Customer Coordination Category A/B/C Allocation of regions and routes Training Performance record/ Rankings and Reviews by customers Experience Preferred timing communication one day prior to scheduled delivery Communication details of the driver Reviews and ranking for delivery experience Benefits Better efficiency Better customer reviews Better utilization of incentive schemes Challenges Complexity in algorithm Internal conflicts Benefits Reduced failed delivery attempts Reduced time wastage due to address confusion Challenges Customer cooperation cannot be guaranteed Complexity in back-end function

12 05. Dynamic Route Planning
Recommendations for development in existing system: Integration with GPS systems Traffic consideration Integration with customer scheduled delivery preferences Re-routing/ Route breaking can be avoided Integration with vehicle telematics/ tracking system Real-time coordination and transparency Benefits Improved productivity Timely deliveries Challenges Complexity in algorithm Customer coordination Cooperation from 3PLs

13 Evaluation of Proposed Solutions
Crowdsourcing Model Locker System Performance Evaluation of DAs Customer Coordination Dynamic Route Planning Cost minimization - Timely delivery/ availability Productivity Fleet utilization Frictionless delivery Top-line improvement Bottom-line improvement Beneficial May or may not be beneficial Not beneficial

14 Thank You!


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