Operational Optimizing
for Sustainable Growth in a Grocery Store
A Proposal report for the BDM
capstone Project
Submitted by
Name:
Roll number:
IITM Online BS Degree
Program,
Indian Institute of Technology,
Madras, Chennai
Tamil Nadu, India,
600036
Serial No. |
Contents |
Page |
1 |
Executive Summary and Title |
4 |
2 |
Organisation Background |
5 |
3 |
Problem Statement |
5 |
3.1 |
Problem statement 1 |
5 |
3.2 |
Problem statement 2 |
5 |
3.3 |
Problem statement 3 |
5 |
4 |
Background of the Problem |
6 |
5 |
Problem Solving Approach |
6 |
6 |
Expected Timeline |
8 |
7 |
Expected Outcome |
10 |
Declaration Statement
I am working on a Project titled “Operational
Optimizing for Sustainable Growth in a First-Generation Grocery Store”. I extend my appreciation to Ghosh
Brothers, for providing the necessary resources that enabled me to conduct
my project.
I hereby
assert that the data presented and assessed in this project report is genuine
and precise to the utmost extent of my knowledge and capabilities. The data has
been gathered from primary sources and carefully analysed to assure its
reliability.
Additionally,
I affirm that all procedures employed for the purpose of data collection and
analysis have been duly explained in this report. The outcomes and inferences
derived from the data are an accurate depiction of the findings acquired
through thorough analytical procedures.
I am
dedicated to adhering to the principles of academic honesty and integrity, and
I am receptive to any additional examination or validation of the data
contained in this project report.
I understand
that the execution of this project is intended for individual completion and is
not to be undertaken collectively. I thus affirm that I am not engaged in any
form of collaboration with other individuals, and that all the work undertaken
has been solely conducted by me. In the event that plagiarism is detected in
the report at any stage of the project's completion, I am fully aware and
prepared to accept disciplinary measures imposed by the relevant
authority.
I understand
that all recommendations made in this project report are within the context of
the academic project taken up towards course fulfilment in the BS Degree
Program offered by IIT Madras. The institution does not endorse any of the
claims or comments.
Signature of
Candidate:
Name:
Date:
1. Executive Summary and Title (200
Words)
·
Details about the organization
The project
focuses on a small grocery store located at Basirhat, West Bengal, India. The
business is B2C and deals in the segment of daily consumer goods, including groceries,
fresh products, packaged foods and household essentials.
·
About the problem
The grocery store located in Barasat, West Bengal, operates
as a B2C business catering to the daily needs of the local population. Despite
having a consistent customer base and a wide range of essential grocery items,
the business is currently facing significant challenges related to profitability.
One of the key issues is the presence of excessive inventory, which ties up capital
and leads to wastage, especially in the case of perishable items. The lack of
an efficient inventory management system results in overstocking, stockouts,
and ultimately affects sales and customer satisfaction. Additionally, the
absence of data-driven decision – making processes in procurement and sales tracking
further exacerbates these problems, preventing the business from optimizing
operations and improving profit margins.
·
Possible approach and solution
To address the challenges faced by the grocery store, a
systematic and data driven approach will be adopted. The goal is to optimized
inventory levels, improved sales tracking, and enhance and corresponding solutions
include:
1.
Data Collection and Cleaning:
Collect past records related to
sales, inventory, procurement, and customer preference. Ensure the data is
clean, consistent, and organized for analysis.
2.
Inventory Optimization:
Implement inventory control
techniques such as ABC Analysis and EOQ to identify fast-moving, slow-moving, and
high-value items. This Helps reduce overstocking and prevent dead stock.
3.
Sales Pattern Analysis:
Analysis historical sales data to
identify peak seasons, high-demand products, and customer buying behaviour.
This will Support Targeted Stocking strategies and promotions.
4.
Profit Margin Tracking:
Evaluate cost versus selling price
across product categories to identify low-margin products. The store can then
revise pricing or discontinue unprofitable items.
5.
Visualization and Reporting:
Use dashboards and visual tools to
monitor performance metrics such as sales trends, stock status, and profit
margins in real-time for quick decision-making.
6.
Implementation of a simple Digital Inventory System:
Recommended affordable software or
even spreadsheet-based tracking systems to help the store owner better manage
stock levels and automate alerts for recorder points.
2.
Organization Background (150 Words)
The grocery
store under study is a first-generation, small scale retail business located in
Barasat, an urban town in West Bengal, India. Established with limited
capital and resources, the store was stated by a local entrepreneur, the store
caters to the daily needs of residents in the town and nearby rural areas. It
offers a variety of essential products including rice, flour, spices, packaged
foods, snacks and household items.
Operating without
the advantages of inherited experience or infrastructure, the business relies on
traditional practices such as manual inventory tracking and cash transactions.
Despite having a steady customer base, the store faces
challenges like overstocking, inefficient inventory management, and thin profit
margins. The absence of digital tools and data-driven decision-making further
impacts operational efficiency. As the owner seeks to improve performance and
profitability, the project aims to introduce simple, analytical approaches to
optimize inventory, forecast demand, and support better business decisions for
long-term sustainability.
3.
Problem Statement (Listed as objectives) (50-75 Words)
- Inventory Mismanagement: The store faces overstocking
and understocking issues due to the absence of a structured inventory
management system.
- Lack of Data-Driven Decision Making: Business decisions are made
based on intuition rather than sales or inventory data, leading to poor
purchasing and stocking strategies.
- Low Profit Margins: Without clear pricing
strategies and proper cost monitoring, the store earns minimal profits despite
regular sales.
4.
Background of the Problem (200 Words)
The grocery
store in Barasat, West Bengal, is a first-generation business operated-through
traditional retail practice. While it serves a loyal customer base, it faces
several challenges that hinder its growth and profitability. One of the most
significant problems is inefficient inventory management. Without a digital
system or structured method to track stock movement, the store frequently experiences
overstocking of slow-moving items and understocking of high-demand product
spotlight and lost sales opportunities.
The problem
is further compounded by the lack of data-driven decision-making. Most procurement
and pricing decision are based on the owner’s intuition and past experience rather
than on actual sales trends or customer demand data. This results in mismatches
between stock and customer preference.
Internal
Factors contributing to the problem include the absence of proper keeping,
limited technical knowledge, and insufficient use of analytical tools. External
factors include increasing competition from nearby retail chain and changing
consumer preferences, which require faster adaption and smarter inventory
planning.
Together, these issues lead to low profit margins and prevent
the business from scaling effectively. Addressing these challenges through
business data analysis is crucial for long-term sustainability and growth.
5.
Problem Solving Approach (400 Words)
To address
the operational and profitability challenges faced by the grocery store, a
structured and data-driven problem-solving approach will be implemented. The
methodology involves collecting relevant business data, applying analytical
techniques, and recommending actionable solutions tailored to the store’s
specified needs and limitations.
1.
Data Collection and Cleaning:
The first step involves gathering
historical data related to sales, inventory, procurement, and product
categories. This may be obtained through existing notebook, bill or simple registers
maintained by the store. The data will then be cleaned and formatted in a usable
digital format as spreadsheets, ensuring consistency, completeness and accuracy.
2.
Descriptive Analysis:
Basic statistical and summary metrics
will be used to understand current inventory levels, fast- and slow-moving
production, seasonal sales patterns, and customer buying behaviours. This
insight will help identity overstocked items, frequent stockout, and low-margin
products.
3.
Inventory Optimization:
Implement inventory control
techniques such as ABC Analysis and Economic Order Quantity (EOQ) to identify fast-moving,
slow-moving, and high-value items. This Helps reduce overstocking and prevent
dead stock.
4.
Demand Forecasting:
Using time-series data, simple
forecasting models like moving averages or exponential smoothing will be used to
predict demand for key items. This helps in planning optimal recorder
quantities and reduces chances of excess or insufficient stock.
5.
Profit Margin Tracking:
Evaluate cost versus selling price
across product categories to identify low-margin products. The store can then
revise pricing or discontinue unprofitable items.
6.
Visualization and Reporting:
Data visualization such as bar
charts, trend lines, and pie charts will be created to make the findings more
accessible to the store owner. Dashboards in tools like Excel or Google Sheets
will be developed to allow ongoing monitoring of stock levels, sales, and
profitability.
7.
Implementation of a simple Digital Inventory System:
Recommended affordable software or
even spreadsheet-based tracking systems to help the store owner better
manage stock levels and automate alerts for recorder points.
This
approach ensures that problems are solved using practical, data-backed decisions,
leading to improved operational efficiency and higher profit margins.
6.
Expected Timeline
1. Work
Breakdown Structure:
2. Gantt chart:
7. Expected Outcomes
·
Gain
a clear understating of grocery store’s current operations, workflows, and
challenges.
·
Identify
overstocked or understocked items through sales and stock data analysis.
·
Suggest
efficient inventory management practices to reduce wasted and costs.
·
Understand
customer buying patterns to align stock with profitability.
·
Identify
best-selling and low-performing products for better shelf management.
·
Equip
the store owner with simple analytical tools for regular business evolution.
·
Promote
information and faster decision-making.
·
Recommended
beginner-friendly digital tools for inventory and billing.
·
Help
transition the store towards semi-automated operations without disrupting daily
activities.
·
Enable
long-term improvement in efficiency and profitability.