Assessfy Business Functions Lab Advanced 6 milestones 100 marks

Route Optimisation and Last-Mile Delivery Efficiency for Indian E-Grocery Platforms

Function: Supply Chain Industry: Retail Function: Supply Chain Type: Business-function applied project Team: up to 4 Assessment: 6 milestones (100 marks)

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About this project

Objective: To optimise last-mile delivery routes and processes for an e-grocer in India, reducing costs and improving delivery times.

Indian e-grocers face significant challenges in last-mile delivery, including traffic congestion, poorly mapped addresses, variable order volumes, and customer expectations for rapid delivery. Inefficiencies in route planning and execution directly impact customer satisfaction and operational costs.

The project will involve data analysis of delivery performance, use of mapping and route-optimisation tools, and application of supply chain frameworks. The team will benchmark current practices, gather operational data, and assess technology options for route optimisation tailored to Indian urban and semi-urban settings.

Deliverables include a comprehensive analysis report, optimised route models using real or simulated datasets, cost-benefit analysis, and actionable recommendations for process improvements and technology adoption. Visual dashboards and process maps will support findings.

The project will inform strategic decisions on delivery process redesign, technology investments, and operational best practices, enabling the e-grocer to improve customer satisfaction while controlling logistics costs.

Milestones

1. Problem Definition & Business Case

10 marks 18d

Define specific last-mile delivery challenges for the chosen e-grocer, establish project scope and objectives. Review by faculty and project sponsor for clarity and business relevance.

2. Domain Research & Data Gathering

12 marks 25d

Research Indian e-grocery delivery models, collect process data and map current-state operations. Submit literature review, process maps, and initial data summary for faculty feedback.

3. Solution Design / Methodology

14 marks 20d

Develop route optimisation methodology, select tools and frameworks, and design analytical approach. Faculty/stakeholder review of proposed models and methods.

4. Build / Analysis & Implementation

28 marks 35d

Implement data analysis, run route optimisation scenarios, and develop visual dashboards. Deliver draft technical analysis and scenario results for evaluation by mentor.

5. Validation & Results

22 marks 27d

Validate findings against benchmarks or real-world results, perform sensitivity analysis, and refine recommendations. Submit validated results and receive detailed review for robustness.

6. Final Report & Presentation

14 marks 20d

Prepare comprehensive written report and present business recommendations to faculty panel and industry stakeholders. Assessment includes clarity, feasibility, and impact of proposed solution.

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Skills you'll learn

RetailSupply ChainSupply chain and logistics process analysisRoute optimisation and operations researchData cleaning and exploratory data analysisUse of mapping and GIS tools (e.g.Google Maps APIOpenStreetMap)Statistical analysis and scenario modelling (ExcelPython)Cost-benefit and feasibility analysisBusiness communication and report writingPresentation and stakeholder engagement

Tools used

Microsoft Excel (data analysiscost modelling)Python (PandasNumPyNetworkX for route algorithms)Google Maps API or OpenRouteService (route optimisationmapping)Power BI or Tableau (data visualisation)Public datasets (e.g.Indian urban road networkse-commerce delivery data if available)SCOR model or similar supply chain frameworksSurvey tools (Google Forms for process mappingif required)

Prerequisites

Introduction to Supply Chain ManagementBusiness Statistics or Quantitative TechniquesBasics of Operations ResearchData Analysis with Excel or Python

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