Romand Kuang
The Analyst
Home
Projects
About Me
Romand Kuang
The Analyst
Home
Projects
About Me
More
  • Home
  • Projects
  • About Me
  • Home
  • Projects
  • About Me

MAVEN ROASTERS PROJECT

project Background and overview

 

Maven Roasters is a specialty coffee shop chain with three locations in New York City—Astoria, Hell’s Kitchen, and Lower Manhattan—offering premium coffee, tea, and baked goods.


I'm partnering with the Head of Operations to analyze performance data and provide strategic recommendations to enhance sales, optimize product offerings, and refine marketing strategies across all three locations.


This analysis focuses on uncovering purchase behaviors, identifying sales trends, and pinpointing opportunities for revenue growth. Additionally, we aim to improve operational efficiency by optimizing staffing and inventory management.


By leveraging interactive dashboards and data-driven insights, we will enable smarter business decisions and opportunities that drive sales and streamline daily operations.

Key Business Metrics

 

  • Total Transaction Volume: Daily sales transactions across all locations
  • Monthly Revenue Performance (MoM Trends): Total revenue generated per store month-over-month, identifying trends
  • Hourly and Daily Sales Trends: Identifying peak and low-traffic periods throughout the week
  • Product Performance: Top- and bottom-performing products by location

Data Structure Overview

Executive Summary

 

Maven Roaster's sales analysis, based on 149K transactions over a 6-month period (Jan – June 2023), reveals a total revenue of $700K across three locations.


Revenue is relatively evenly distributed among the three locations:

  • Hell's Kitchen: 33.84% ($236,511)
  • Astoria: 33.23% ($232,243)
  • Lower Manhattan: 32.92% ($230,057)


Tea, coffee, and espresso emerge as the top three product categories at all locations, consistently driving the highest sales.


The analysis indicates that peak sales occur during morning hours (7-10 AM), with a noticeable decline in performance throughout February across all locations.


Furthermore, sales show a significant drop after 10 AM, highlighting an opportunity for operational improvement.


To address these trends, Maven Roaster can:

  • Optimize staffing levels during peak hours
  • Explore new menu items that cater to customer preferences
  • Launch targeted promotions and specials during off-peak periods

By taking these actions, Maven Roaster can enhance overall business performance, maximize revenue, and better meet customer demand.


total revenue by month

Insights Deep Dive

 

Total Revenue Volume

  • Balanced Revenue Distribution Across Locations:
    Revenue is closely distributed across locations, with each contributing approximately one-third of total revenue.
  • Hell’s Kitchen slightly outperforms the other locations:
    • Hell’s Kitchen: $236,511
    • Astoria: $232,243
    • Lower Manhattan: $230,057
  • The revenue gap is minimal, showing consistent performance across locations and potential for further optimization.

Total Revenue by Location

Monthly Revenue Performance (MoM Trends)

 

  • February Drop Across Locations:
    • Astoria (-8.09%) had the sharpest decline, followed by Hell’s Kitchen (-7.55%) and Lower Manhattan (-4.61%).
  • Strong Recovery in March:
    • Sales increased 28-31% across all locations.
  • Peak Performance in May:
    • All three locations experienced 30-32% growth.
  • Slight Increase in June:
    • Sales slowed to 5-8% growth, the only single-digit increase in the dataset.

Monthly Revenue Performance (MoM Trends)

Hourly and Daily Sales Trends

 

  • Double Surge at 7 AM:
    • Hell’s Kitchen: +105.1%
    • Lower Manhattan: +98.5%
    • Astoria (opens at 7 AM): +18.8% (7-8 AM)
  • Mid-day Drop After 10 AM:
    • Sales decline -35% to -56% across locations.
    • Sharpest decline at 11 AM:
      • Lower Manhattan: -56.2%
      • Hell’s Kitchen: -48.3%
  • Sales Fluctuate After 12 PM:
    • Astoria remains stable, while Hell’s Kitchen and Lower Manhattan experience irregular swings.
  • Evening Sales (6-8 PM) Decline:
    • Lower Manhattan: -43.5% (6 PM), -91.2% (7 PM)
  • Varied Weekly Performance Across Locations:
    • Hell’s Kitchen: Growth on Tuesdays (+5.2%) and Sundays (+7.3%)
    • Astoria: Growth on Tuesdays (+4.8%), steady throughout the week.
    • Lower Manhattan: Minimal increases (1% to 2.3%) throughout the week.

Monthly Revenue Performance (MoM Trends)

Product Performance

 

  • Brewed Chai Tea is Astoria’s top-selling product
    • 6,293 transactions (12.44% of total sales)
  • Espresso is the top seller in Hell’s Kitchen and Lower Manhattan


  • Top 3 product types across all locations:
    • Chai Tea, Coffee, and Espresso → Highlights customer preference for signature beverages.

  • Bottom-performing products:
    • Astoria: Green Bean Coffee (0.08%)
    • Lower Manhattan: Green Bean Coffee (0.07%)
    • Hell’s Kitchen: Green Tea (0.09%)

Hell's Kitchen Top 15 Product Types

  •  Barista Espresso and Brewed Chai Tea lead in both transactions and revenue, underscoring their role as key drivers of sales. Lower-performing items like syrups and biscotti contribute minimally, indicating potential areas for menu refinement or promotion. 

Astoria Top 15 Product Types

 

  •  Product Performance Breakdown
    While espresso-based drinks dominate both revenue and transaction volume, brewed teas and hot chocolate offer strong supporting performance. Opportunities exist to further promote mid-performing items like Scones and Herbal Tea. 


Lower Manhattan Top 15 Product Types

  •  Barista Espresso tops the chart with the highest transaction volume and revenue, indicating strong customer demand. Meanwhile, syrups and biscotti show minimal revenue contribution, suggesting room for menu optimization. 


bottom 15 product types

While the bottom 15 products account for less than 2% of total transactions in Lower Manhattan, items like Organic Beans, Housewares, and Premium Beans punch above their weight in revenue. 


These high-margin, low-volume products present targeted opportunities for premium placement or seasonal promotion—an efficient way to boost profitability without adding operational strain. 

bottom 15 product types

Despite representing just over 1% of total transactions, low-volume items like Premium Beans, Organic Beans, and Gourmet Beans generate significant revenue—topping out at over $8,400 for Premium Beans. 


 These findings reveal overlooked profit drivers among niche products in Hell’s Kitchen, presenting a clear case for targeted marketing and strategic inventory prioritization to capitalize on their 

Show More

bottom 15 product types

 In Astoria, although these bottom-tier products account for a small fraction of transactions, several—such as Premium Beans, Housewares, and Clothing—bring in over $3,000 in revenue each. 


These high-margin performers among low-volume items signal clear opportunities for premium positioning, seasonal promotions, or bundling strategies to maximize revenue impact with minimal operational load. 

Recommendations

 

Based on the insights and findings above, we would recommend the stakeholder team to consider the following:


1. Target High-Value Products

Leverage Popularity:

  • Promote top-selling products (Brewed Chai Tea, Barista Espresso) in marketing campaigns to attract more customers.

Bundling & Special Offers:

  • On busy days, bundle bestsellers with pastries to increase transaction value.
  • On slower days, offer BOGO deals to encourage bulk purchases and drive sales.


Niche High-Margin Products:

  • Despite low sales volume, items like Premium Beans, Housewares, and Organic Beans consistently deliver high revenue per transaction.
     
  • Consider positioning these as “premium add-ons” or seasonal exclusives to increase visibility and maintain profitability without cluttering the core menu.


2. Staffing Optimization & Inventory Adjustments


Staffing Adjustments:

  • Increase staff during peak hours to reduce wait times.
  • Scale back staffing during low-traffic hours to optimize labor costs.

Inventory Adjustments:

  • Stock high-demand products on peak days.
  • Reduce stock for underperforming products and offer discounts.
  • Consider removing consistently low-performing products from the menu.


Clarifying Questions, Assumptions, and Caveats


Missing Monthly Data:

  • Dataset only includes January–June transactions. No data beyond June, limiting the ability to track seasonal trends.

Lack of Promotional Data:

  • Sales data does not indicate active promotions, making it difficult to attribute changes in sales to marketing efforts.

Blank Transaction Data (6 AM & 8 PM in Astoria):

  • Assumed to be due to store hours. Further clarification needed.

Copyright © 2025 Romand Kuang - All Rights Reserved.


Powered by

This website uses cookies.

We use cookies to analyze website traffic and optimize your website experience. By accepting our use of cookies, your data will be aggregated with all other user data.

Accept