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U.S. Retail Sales Performance Analysis & Business Insights

Explore a detailed data analytics report on U.S. retail sales (2021-2024), featuring category profitability, regional KPIs, and strategic growth recommendations.

#data-analytics#retail-sales-analysis#business-intelligence#profitability-trends#kpi-dashboard#market-research#sales-strategy
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DATA ANALYTICS
ADM1370 | WINTER 2026 | ASSIGNMENT 02
U.S. Retail Sales
Performance Analysis & Business Insights
Group 7
Kareem Abu-Dalfa | Ryan Kronwald
Dataset: U.S. Multi-Year Retail Transactions
Made byBobr AI
Agenda
What We'll Cover Today
01
01
Company Overview
02
02
Best & Worst Products
03
03
Sales & Profit Trends
04
04
Customer Segments
05
05
Regional Performance
06
06
Key KPIs
07
07
Product Profitability Trend
08
08
Dashboard Presentation
09
09
Conclusions & Recommendations
ADM1370 | Group 7 | Kareem Abu-Dalfa & Ryan Kronwald
Made byBobr AI
2.1
Company Overview & Current Offerings
A multi-year U.S. retail business operating across all 4 major regions β€” East, West, Central, and South β€” serving Consumer, Corporate, and Home Office customer segments.
πŸ“¦
3 Product Categories: Furniture, Office Supplies, Technology
πŸ›’
~10,000 Orders across 4 years (2021–2024)
πŸ“
49 States served across the United States
πŸ‘₯
3 Customer Segments: Consumer, Corporate, Home Office
FURNITURE
Bookcases, Chairs, Tables, Furnishings
OFFICE SUPPLIES
Binders, Paper, Storage, Art, Envelopes, Labels, Fasteners
TECHNOLOGY
Phones, Accessories, Machines, Copiers
ADM1370 | Group 7 | Kareem Abu-Dalfa & Ryan Kronwald
Made byBobr AI
Section 2.2
Best & Worst Performing Products
πŸ† Top Performers
Canon ImageCLASS Copier
$25,199
Fellowes PB500 Binder
$13,050
Hewlett Packard LaserJet
$9,145
GBC DocuBind Binder
$8,320
Samsung Smart Phone
$7,900
⚠️ Worst Performers
Cubify CubeX 3D Printer
-$8,879
Lexmark MX611 Printer
-$4,591
Bevis Round Table
-$3,880
Chromcraft Bull-Nose Table
-$3,462
GBC Ibimaster Binder
-$1,971
πŸ’‘
Insight: Technology leads in top profit earners, while Tables and select printers are consistent loss-makers β€” often driven by heavy discounting.
ADM1370 | Group 7 | Kareem Abu-Dalfa & Ryan Kronwald
Made byBobr AI
2.2 CONT.
Category Performance: Sales & Profitability
πŸ’»
TECHNOLOGY
Sales
$836,154
Profit
$145,455
Margin
17.4%
βœ“ Best Profit Margin
πŸ“Ž
OFFICE SUPPLIES
Sales
$719,047
Profit
$122,491
Margin
17.0%
βœ“ Most Orders
πŸͺ‘
FURNITURE
Sales
$741,999
Profit
$18,451
Margin
2.5%
⚠ Weakest Profitability
πŸ’‘
Insight: Furniture generates comparable sales to Technology but only 2.5% profit margin vs. 17.4%. Aggressive discounting and high shipping costs on large items are the primary margin killers.
ADM1370 | Group 7 | Kareem Abu-Dalfa & Ryan Kronwald
Made byBobr AI
2.3
Sales & Profit Trends Over Time
β€” Sales
β€” Profit
Amount (USD) $800K $600K $400K $200K $0 2021 2022 2023 2024 $49K $82K $93K $93K $484K $471K $608K $734K
πŸ“ˆ
Total 4-Year Sales
$2,297,200
πŸ’°
Total 4-Year Profit
$286,397
πŸ“Š
Avg. Profit Margin
12.5%
ADM1370 | Group 7 | Kareem Abu-Dalfa & Ryan Kronwald
Made byBobr AI
2.4
Customer Segment Analysis
Consumer
Largest Segment
Sales
$1,161,401
Profit
$134,119
Margin
11.5%
Orders
~5,191
Corporate
⭐ Highest Margin
Sales
$706,146
Profit
$91,979
Margin
13.0%
Orders
~3,020
Home Office
Best Profit %
Sales
$429,653
Profit
$60,299
Margin
14.0%
Orders
~1,783
Chart
Total Profit
$286,397
πŸ’‘
While the Consumer segment generates the most raw profit, Corporate and Home Office customers yield higher profit margins per dollar sold β€” making them higher-value targets.
ADM1370 | Group 7 | Kareem Abu-Dalfa & Ryan Kronwald
Made byBobr AI
2.5
Regional Sales Performance
WEST πŸ†
MOST PROFITABLE
Sales $725,458
Profit $108,418
Margin 14.9%
EAST
Sales $678,781
Profit $91,523
Margin 13.5%
SOUTH
Sales $391,722
Profit $46,750
Margin 11.9%
CENTRAL
LOWEST MARGIN
Sales $501,240
Profit $39,706
Margin 7.9%
Profit by Region
Chart
πŸ’‘
The West region leads in profitability driven by strong Tech sales in California.

The Central region underperforms β€” high discount rates are compressing margins despite moderate sales volume.
ADM1370 | Group 7 | Kareem Abu-Dalfa & Ryan Kronwald
Made byBobr AI
2.6
Performance Tracking

Additional KPI Findings

3 Key Metrics Beyond Sales & Profit

Average Order Discount Rate
15.6%
Avg. Discount Applied
15.6% 50% 0% 25%
Orders with discounts >20% average a NEGATIVE profit margin of -4.3%. Discounting strategy needs immediate review.
Average Shipping Days
3.96 days
Avg. Ship-to-Delivery Time
Same Day First Cl. 2.2d Standard 5.0d 3.96d
Standard Class shipping averages 5.0 days. First Class averages 2.2 days. Same Day accounts for only 5.5% of orders.
Customer Return Rate / Repeat Orders
793
Unique Customers
TOP CUSTOMERS
Top 10 customers account for $72,000+ in total profit. High-value repeat customers are concentrated in the Consumer and Corporate segments.
πŸ’‘ Key Takeaway: Excessive discounting is the single biggest threat to profitability. A discount reduction strategy could add significant margin improvement across all segments.
ADM1370 | Group 7 | Kareem Abu-Dalfa & Ryan Kronwald
Made byBobr AI
2.7
Product Profitability Trend
The Trend: Furniture Profitability Declining
Chart
Potential Explanations
πŸ“‰
1. Escalating Discount Rates
Furniture items receive disproportionately high discounts (avg. 22%), often exceeding cost margins.
🚚
2. High Shipping Costs
Large/heavy items (Tables, Bookcases) incur above-average freight costs not reflected in pricing.
πŸ”„
3. Product Mix Shift
Growing share of low-margin sub-categories (Tables, Bookcases) vs higher-margin (Chairs, Furnishings).
🏷️
4. Competitive Pricing Pressure
Price matching on commodity furniture items reducing achievable margins.
2.7.1 ADDITIONAL DATA SOURCES TO CONSULT
πŸ“¦
Supplier Cost Data
Track COGS changes over time
🚚
Freight & Logistics Invoices
Isolate shipping cost per item
πŸͺ
Competitor Pricing Data
Benchmark pricing vs. market
πŸ›’
Customer Returns Data
Identify defect/return rates by category
ADM1370 | Group 7 | Kareem Abu-Dalfa & Ryan Kronwald
2.7
Made byBobr AI
2.7.1
Recommended Additional Data Sources
To Further Investigate the Furniture Profitability Decline
Supplier Cost Records
Historical purchase price per SKU β€” enables accurate COGS tracking and reveals cost creep over time.
Why: Pinpoints cost-push margin erosion
Freight & Shipping Invoices
Per-order shipping costs by weight and dimensions β€” large furniture items may carry untracked freight costs.
Why: Isolates logistics cost impact
Competitor Pricing Data
Public market prices from Staples, Office Depot, Amazon Business β€” benchmarks achievable margins.
Why: Reveals external pricing pressure
Returns & Refund Records
Return rates and refund amounts per product β€” high returns in Furniture could mask true revenue figures.
Why: Uncovers hidden revenue loss
Macroeconomic Indices
CPI, inflation data, and supply chain disruption indices β€” external factors may explain margin compression.
Why: Contextualizes timing of decline
Marketing & Promo Spend
Discount campaign records by product and date β€” links specific promotions to profit margin timeline.
Why: Connects discounts to impact
ADM1370 | Group 7 | Kareem Abu-Dalfa & Ryan Kronwald
Made byBobr AI
2.8
Interactive Power BI Dashboard
Key Insights at a Glance
Power BI β€” U.S. Retail Sales Dashboard
Total Sales
$2,297,200
Total Profit
$286,397
Total Orders
9,994
Avg. Discount
15.6%
Sales by Region
Profit by Category
$90K
Furniture
$140K
Office
$56K
Tech
Sales Trend
Q1 Q2 Q3 Q4
Customer Segments
Consumer (50%)
Corporate (30%)
Home Office (20%)
Top 5 Products
Phones
$330K
Chairs
$328K
Storage
$223K
Tables
$206K
Dashboard Link: [Insert Power BI URL Here]
Dashboard Features
Interactive slicers: Region, Segment & Year
Drill-through to product-level detail
Dynamic KPI cards update with filters
Cross-filtered visuals for holistic view
Mobile-optimized responsive layout
Real-time data refresh capability
ADM1370 | Group 7 | Kareem Abu-Dalfa & Ryan Kronwald
Made byBobr AI
Section 2.9
Concluding Thoughts on Past Performance
Key Findings Summary
Sales Growth
Revenue grew 51.5% from 2021 to 2024, demonstrating consistent demand. However, growth has been accompanied by proportional cost increases.
Top Performer
Technology is the star category β€” highest profit margin (17.4%) and home to the top individual profit-earning products.
Problem Area
Furniture consistently underperforms with only 2.5% profit margin. Deep discounting and high logistics costs are primary culprits.
Discount Risk
Orders with discounts above 20% consistently generate losses. The current discounting policy is unsustainable at scale.
Regional Strength
The West region dominates profitability, particularly California β€” representing a strategic geographic advantage to leverage.
Strategic Scorecard
Area
Performance
Trend
Revenue Growth
β˜…β˜…β˜…β˜…β˜…
Profit Margins
β˜…β˜…β˜…β˜…β˜…
Discount Strategy
β˜…β˜…β˜…β˜…β˜…
Regional Coverage
β˜…β˜…β˜…β˜…β˜…
Product Mix
β˜…β˜…β˜…β˜…β˜…
Customer Retention
β˜…β˜…β˜…β˜…β˜…
ADM1370 | Group 7 | Kareem Abu-Dalfa & Ryan Kronwald
Made byBobr AI
2.9 (cont.)
Recommendations for Future Growth
#1
🏷️
Revise Discounting Policy
Cap maximum discounts at 15% across all categories. Implement tiered volume-based discounts to reward loyal customers without sacrificing margins. Focus reduction especially on Furniture sub-categories.
#2
πŸ’»
Double Down on Technology
Increase inventory and marketing investment in high-margin Technology products, particularly Phones, Copiers, and Accessories which consistently deliver 17%+ margins.
#3
πŸͺ‘
Optimize the Furniture Portfolio
Discontinue or reprice chronically loss-making products (e.g., specific Tables). Renegotiate supplier contracts and shipping rates for large-format furniture items.
#4
πŸ‘”
Target Corporate & Home Office Segments
Allocate additional sales resources toward Corporate and Home Office segments which show higher profit margins per order despite lower volume.
#5
πŸ—ΊοΈ
Expand West Region Presence
Leverage the West region's proven success by expanding into underserved Pacific markets. Investigate why Central region lags and develop targeted interventions.
#6
πŸ“Š
Invest in Customer Analytics
Develop a customer lifetime value (CLV) model to identify and retain the highest-value customers. Top 10 customers represent disproportionate profit contribution.
ADM1370 | Group 7 | Kareem Abu-Dalfa & Ryan Kronwald
Made byBobr AI
THANK YOU
ADM1370 | Winter 2026 | Assignment 02 | Group 7
Thank You
Questions & Discussion
Kareem Abu-Dalfa
Ryan Kronwald
πŸ“¦
$2.3M Total Sales
πŸ’°
$286K Total Profit
πŸ—ΊοΈ
4 Regions Analyzed
πŸ“Š
3 Product Categories
Dataset: U.S. Multi-Year Retail Transactions | Presented via Power BI
Made byBobr AI
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U.S. Retail Sales Performance Analysis & Business Insights

Explore a detailed data analytics report on U.S. retail sales (2021-2024), featuring category profitability, regional KPIs, and strategic growth recommendations.

DATA ANALYTICS

ADM1370 | WINTER 2026 | ASSIGNMENT 02

U.S. Retail Sales

Performance Analysis & Business Insights

Group 7

Kareem Abu-Dalfa | Ryan Kronwald

Dataset: U.S. Multi-Year Retail Transactions

Agenda

What We'll Cover Today

Company Overview

Best & Worst Products

Sales & Profit Trends

Customer Segments

Regional Performance

Key KPIs

Product Profitability Trend

Dashboard Presentation

Conclusions & Recommendations

ADM1370 | Group 7 | Kareem Abu-Dalfa & Ryan Kronwald

2.1

Company Overview & Current Offerings

A multi-year U.S. retail business operating across all 4 major regions β€” East, West, Central, and South β€” serving Consumer, Corporate, and Home Office customer segments.

πŸ“¦

3 Product Categories: Furniture, Office Supplies, Technology

πŸ›’

~10,000 Orders across 4 years (2021–2024)

πŸ“

49 States served across the United States

πŸ‘₯

3 Customer Segments: Consumer, Corporate, Home Office

FURNITURE

Bookcases, Chairs, Tables, Furnishings

OFFICE SUPPLIES

Binders, Paper, Storage, Art, Envelopes, Labels, Fasteners

TECHNOLOGY

Phones, Accessories, Machines, Copiers

ADM1370 | Group 7 | Kareem Abu-Dalfa & Ryan Kronwald

2.2

Best & Worst Performing Products

πŸ† Top Performers

⚠️ Worst Performers

Technology leads in top profit earners, while Tables and select printers are consistent loss-makers β€” often driven by heavy discounting.

ADM1370 | Group 7 | Kareem Abu-Dalfa & Ryan Kronwald

Canon ImageCLASS Copier

$25,199

100%

Fellowes PB500 Binder

$13,050

51.8%

Hewlett Packard LaserJet

$9,145

36.3%

GBC DocuBind Binder

$8,320

33.0%

Samsung Smart Phone

$7,900

31.4%

Cubify CubeX 3D Printer

-$8,879

100%

Lexmark MX611 Printer

-$4,591

51.7%

Bevis Round Table

-$3,880

43.7%

Chromcraft Bull-Nose Table

-$3,462

39.0%

GBC Ibimaster Binder

-$1,971

22.2%

2.2 CONT.

Category Performance: Sales & Profitability

πŸ’»

TECHNOLOGY

$836,154

$145,455

17.4%

βœ“ Best Profit Margin

πŸ“Ž

OFFICE SUPPLIES

$719,047

$122,491

17.0%

βœ“ Most Orders

πŸͺ‘

FURNITURE

$741,999

$18,451

2.5%

⚠ Weakest Profitability

<b>Insight:</b> Furniture generates comparable sales to Technology but only 2.5% profit margin vs. 17.4%. Aggressive discounting and high shipping costs on large items are the primary margin killers.

ADM1370 | Group 7 | Kareem Abu-Dalfa & Ryan Kronwald

2.3

Sales & Profit Trends Over Time

Total 4-Year Sales

$2,297,200

Total 4-Year Profit

$286,397

Avg. Profit Margin

12.5%

ADM1370 | Group 7 | Kareem Abu-Dalfa & Ryan Kronwald

Sales

Profit

$484K

$471K

$608K

$734K

$49K

$82K

$93K

$93K

Amount (USD)

2021

2022

2023

2024

2.4

Customer Segment Analysis

ADM1370 | Group 7 | Kareem Abu-Dalfa & Ryan Kronwald

2.5

Regional Sales Performance

$725,458

$108,418

14.9%

$678,781

$91,523

13.5%

$391,722

$46,750

11.9%

$501,240

$39,706

7.9%

ADM1370 | Group 7 | Kareem Abu-Dalfa & Ryan Kronwald

2.6

Additional KPI Findings

3 Key Metrics Beyond Sales & Profit

Average Order Discount Rate

15.6%

Avg. Discount Applied

Orders with discounts >20% average a <strong style="color:#F87171; font-weight: 800;">NEGATIVE</strong> profit margin of -4.3%. Discounting strategy needs immediate review.

Average Shipping Days

3.96 days

Avg. Ship-to-Delivery Time

Standard Class shipping averages <strong style="color:#fff; font-weight: 700;">5.0 days</strong>. First Class averages <strong style="color:#fff; font-weight: 700;">2.2 days</strong>. Same Day accounts for only 5.5% of orders.

Customer Return Rate / Repeat Orders

793

Unique Customers

Top 10 customers account for <strong style="color:#22C55E; font-weight: 700;">$72,000+</strong> in total profit. High-value repeat customers are concentrated in the Consumer and Corporate segments.

πŸ’‘ <strong style="color:#3B82F6; font-weight: 700;">Key Takeaway:</strong> Excessive discounting is the single <strong style="color:#FFF; font-weight: 600;">biggest threat to profitability</strong>. A discount reduction strategy could add significant margin improvement across all segments.

ADM1370 | Group 7 | Kareem Abu-Dalfa & Ryan Kronwald

2.7

Product Profitability Trend

The Trend: Furniture Profitability Declining

Potential Explanations

1. Escalating Discount Rates

Furniture items receive disproportionately high discounts (avg. 22%), often exceeding cost margins.

2. High Shipping Costs

Large/heavy items (Tables, Bookcases) incur above-average freight costs not reflected in pricing.

3. Product Mix Shift

Growing share of low-margin sub-categories (Tables, Bookcases) vs higher-margin (Chairs, Furnishings).

4. Competitive Pricing Pressure

Price matching on commodity furniture items reducing achievable margins.

2.7.1 ADDITIONAL DATA SOURCES TO CONSULT

Supplier Cost Data

Track COGS changes over time

Freight & Logistics Invoices

Isolate shipping cost per item

Competitor Pricing Data

Benchmark pricing vs. market

Customer Returns Data

Identify defect/return rates by category

ADM1370 | Group 7 | Kareem Abu-Dalfa & Ryan Kronwald

2.7.1

Recommended Additional Data Sources

To Further Investigate the Furniture Profitability Decline

Supplier Cost Records

Historical purchase price per SKU β€” enables accurate COGS tracking and reveals cost creep over time.

Why: Pinpoints cost-push margin erosion

Freight & Shipping Invoices

Per-order shipping costs by weight and dimensions β€” large furniture items may carry untracked freight costs.

Why: Isolates logistics cost impact

Competitor Pricing Data

Public market prices from Staples, Office Depot, Amazon Business β€” benchmarks achievable margins.

Why: Reveals external pricing pressure

Returns & Refund Records

Return rates and refund amounts per product β€” high returns in Furniture could mask true revenue figures.

Why: Uncovers hidden revenue loss

Macroeconomic Indices

CPI, inflation data, and supply chain disruption indices β€” external factors may explain margin compression.

Why: Contextualizes timing of decline

Marketing & Promo Spend

Discount campaign records by product and date β€” links specific promotions to profit margin timeline.

Why: Connects discounts to impact

ADM1370 | Group 7 | Kareem Abu-Dalfa & Ryan Kronwald

2.8

Interactive Power BI Dashboard

Key Insights at a Glance

$2,297,200

$286,397

9,994

15.6%

Interactive slicers: Region, Segment & Year

Drill-through to product-level detail

Dynamic KPI cards update with filters

Cross-filtered visuals for holistic view

Mobile-optimized responsive layout

Real-time data refresh capability

[Insert Power BI URL Here]

ADM1370 | Group 7 | Kareem Abu-Dalfa & Ryan Kronwald

Section 2.9

Concluding Thoughts on Past Performance

Key Findings Summary

Sales Growth

Revenue grew 51.5% from 2021 to 2024, demonstrating consistent demand. However, growth has been accompanied by proportional cost increases.

Top Performer

Technology is the star category β€” highest profit margin (17.4%) and home to the top individual profit-earning products.

Problem Area

Furniture consistently underperforms with only 2.5% profit margin. Deep discounting and high logistics costs are primary culprits.

Discount Risk

Orders with discounts above 20% consistently generate losses. The current discounting policy is unsustainable at scale.

Regional Strength

The West region dominates profitability, particularly California β€” representing a strategic geographic advantage to leverage.

Strategic Scorecard

ADM1370 | Group 7 | Kareem Abu-Dalfa & Ryan Kronwald

2.9 (cont.)

Recommendations for Future Growth

Revise Discounting Policy

Cap maximum discounts at 15% across all categories. Implement tiered volume-based discounts to reward loyal customers without sacrificing margins. Focus reduction especially on Furniture sub-categories.

Double Down on Technology

Increase inventory and marketing investment in high-margin Technology products, particularly Phones, Copiers, and Accessories which consistently deliver 17%+ margins.

Optimize the Furniture Portfolio

Discontinue or reprice chronically loss-making products (e.g., specific Tables). Renegotiate supplier contracts and shipping rates for large-format furniture items.

Target Corporate & Home Office Segments

Allocate additional sales resources toward Corporate and Home Office segments which show higher profit margins per order despite lower volume.

Expand West Region Presence

Leverage the West region's proven success by expanding into underserved Pacific markets. Investigate why Central region lags and develop targeted interventions.

Invest in Customer Analytics

Develop a customer lifetime value (CLV) model to identify and retain the highest-value customers. Top 10 customers represent disproportionate profit contribution.

ADM1370 | Group 7 | Kareem Abu-Dalfa & Ryan Kronwald

THANK YOU

ADM1370 | Winter 2026 | Assignment 02 | Group 7

Thank You

Questions & Discussion

Kareem Abu-Dalfa

Ryan Kronwald

πŸ“¦

$2.3M Total Sales

πŸ’°

$286K Total Profit

πŸ—ΊοΈ

4 Regions Analyzed

πŸ“Š

3 Product Categories

Dataset: U.S. Multi-Year Retail Transactions | Presented via Power BI

  • data-analytics
  • retail-sales-analysis
  • business-intelligence
  • profitability-trends
  • kpi-dashboard
  • market-research
  • sales-strategy