Sample Of A Draft Decision Matrix For Bottled Export

Sample Of A Draft Decision Matrix For The Export Of Bottled Malt Beeri

Sample of a draft decision matrix for the export of bottled malt beer In the report will needed to be included the reasoning for selecting these indicators and weights Top potential markets 1. Chile 2. Canada 3. South Korea Criteria Wt. Canada Chile Mexico Honduras South Korea Panama Paraguay Japan UK Guatemala 2019 Exports to Country of US Beer Qty 1 $112m $106m $58m $53m $53m $27m $26m $22m $20m $20m Rank -year Export Growth Change 0.% 123% -27% 802% 440% 8% 14% 275% -7% 1085% Rank Import to US of Beer Qty 0.5 $109m $11k $3.9B $235K $4.5m $38k 0 $7.7m $19m $3.8m Rank Beer Consumption per capita Liters 0..7L 50L 68.7L 15.9L 42.8L 76.8L 32..4L 72.9L 15L Rank Per Capita Income Amount 0.8 $47k $25k $19k $5k $39k 25k $13k $42k $45k $8k Rank Weighted Score 15.........5 Export Data from USITC Trade Database HS Code Beer made from malt, in bottles holding Quantity Rank Country Year 2015 Year yr Change Change $ 1 Canada 154,159,,886,% -42,272, Chile 47,336,,775,% 58,439, Mexico 179,544,,875,% -120,668, Honduras 5,826,,550,% 46,724, South Korea 9,730,,523,% 42,792, Panama 25,063,,078,% 2,014, Paraguay 22,683,,914,% 3,231, Japan 5,766,,639,% 15,872, United Kingdom 21,580,,009,% -1,570, Guatemala 1,677,,879,% 18,201, Sweden 23,138,,381,% -5,756, Taiwan 8,198,,438,% 8,239, China 6,875,,558,% 7,682, Dominican Rep 4,780,,824,% 5,044, United Arab Em 4,414,,683,% 4,268, Bahamas 3,296,,283,% 4,987, Singapore 3,366,,909,% 3,543, Peru 1,668,,776,% 4,108, Netherlands 3,731,,725,% 1,993, France 953,,546,% 4,593,082 IMPORT Data from USITC Trade Database HS Code Beer made from malt, in bottles holding Rank Country Year Mexico 3,946,951, Netherlands 723,657, Belgium 366,971, Ireland 191,195, Canada 109,540, Germany 83,173, Italy 23,058, Dominican Rep 22,370, United Kingdom 18,786, Jamaica 18,181, Vietnam 10,504, Poland 9,141, Japan 7,648, Czech Republic 6,100, Austria 5,598, China 5,007, South Korea 4,538, France 4,008, India 3,872, Guatemala 3,750,523 Sample of a draft decision matrix for the export of bottled malt beer In the report will needed to be included the reasoning for selecting these indicators and weights Top potential markets 1.

Chile 2. C anada 3. South Korea Criteria Wt. Canada Chile Mexico Honduras South Korea Panama Paraguay Japan UK Guatemala 2019 Exports to Count ry of US Beer Qty 1 $112m $106m $58m $53m $53m $27m $26m $22m $20m $20m Rank -year Export Growth Change 0.% 123% - 27% 802% 440% 8% 14 % 275% -7% 1085% Ran k Import to US of Beer Qty 0.5 $109m $11k $3.9B $235K $4.5m $38k 0 $ 7.7m $19m $3.8m Rank Beer Consumption per capita Liters 0. .7L 50L 68.7 L 15.9L 42.8L 76.8 L 32..4L 72.9 L 15L Rank Per Capita Income Amount 0.8 $47k $25k $19k $5k $39k 25k $13k $42k $45k $8k Rank Weighted Score 15.........5 Export Data from USITC Trade Database HS Code Beer made from malt, in bottles holding Quantity Rank Country Year 2015 Year yr Change Change $ Sample of a draft decision matrix for the export of bottled malt beer In the report will needed to be included the reasoning for selecting these indicators and weights Top potential markets 1.

Chile 2. Canada 3. South Korea Criteria Wt. Canada Chile Mexico Honduras South Korea Panama Paraguay Japan UK Guatemala 2019 Exports to Count ry of US Beer Qty 1 $112m $106m $58m $53m $53m $27m $26m $22m $20m $20m Rank -year Export Growth Change 0.8 -27% 123% -27% 802% 440% 8% 14% 275% -7% 1085% Rank Import to US of Beer Qty 0.5 $109m $11k $3.9B $235K $4.5m $38k 0 $7.7m $19m $3.8m Rank Beer Consumption per capita Liters 0.5 55.7L 50L 68.7L 15.9L 42.8L 76.8L 32.8 41.4L 72.9L 15L Rank Per Capita Income Amount 0.8 $47k $25k $19k $5k $39k 25k $13k $42k $45k $8k Rank Weighted Score 15.5 13.5 23.1 20.1 17.1 18.4 22.7 20..5 Export Data from USITC Trade Database HS Code Beer made from malt, in bottles holding Quantity Rank Country Year 2015 Year yr Change Change $ 2.1 Matrix Potential for Beer Exports Country Total US exports y.

2019 (in million dollars) Weight (25%) GDP per capita (in thousands$) Weight (20%) Beer Consumption per capita (in liters) Weight (30%) Population (in million) Weight (25%) Total China 14.....,394...4 Mexico 58.........5 Chile 169........7 Canada 106.........0 Germany 0.........7 Japan 30........0 Czech Rep. ........8 UK 22.........3 South Korea 66.........3 Netherlands 5.........5 Table 1. Weighted Decision Matrix of Potential Exports Markets for Table and Kitchenware Weighted Decision Matrix of Potential Export Markets for Table and Kitchenware Criteria Weight Canada Germany China Netherlands United Kingdom Population Pop. Growth rate Urbanization % GDP Per Capita GDP Growth Rate Export Value FAS Value Imported Value Weighted Score The Weighted Score is multiplied by the weight to arrive at the total weighted score.

Quantitative analysis of contending countries Table 1 shows the countries’ quantitative score of activity with each indicator. The countries are ordinally ranked based on their quantitative score (e.g., the country with the highest import activity receives a 1; conversely, the country with the least amount of import activity receives a 6). The only indicator that is inversely ranked is the unemployment rate, as a lower percentage indicates more favorable conditions. Table 1. Contending countries’ quantitative score with each indicator of market potential.

Criteria China Germany Japan Netherlands Norway Sweden Imports with US $636B $557B $204.2B $60B $12.2B $4.44B Per Capita (PPP) $16,700 $42,800 $50,400 $72,100 $72,000 $51,200 EV Annual Sales (,016,,,,,,793 Unemployment rate (%) 3......7 EVs/1,000 people Ratio 1.....8 Source(s): CIA World Factbook; IMF – World Economic Outlook database; Santander Trade Markets; US Dept. of Commerce. Decision matrix and country ranking for Electric Vehicles Once the countries are ordinally ranked, their score is then multiplied by the weight, representative of the level of influence each indicator has on exporting, and the weighted scores are totaled with the lowest score representing the country with the most favorable market conditions for exporting (see Table 2).

As demonstrated in Table 2, the top three international markets of export potential are Norway, Germany, and China, with the three lowest weighted scores, 47, 53, and 56, respectively. Table 2. Decision matrix with contending countries, indicators of market potential and the respective weight. Criteria Weight China Germany Japan Netherlands Norway Sweden Imports with US Per Capita (PPP) EV Annual Sales ( Unemployment rate (%) EVs/1,000 people Ratio Weighted Score - To summarize, the top three potential markets are Norway, Germany, and China, based on a comprehensive and quantitative analysis of several factors used to indicate the market potential for exporting. These factors examine the country’s level of trade activity with the US, signifying established trade agreements, two economic indicators of purchasing power parity and unemployment rates, and two factors representing a country’s quantitative level of activity pertaining to electric vehicles, consisting of annual sales and a ratio of number of EVs per 1,000 people in the respective population.

2.1 M atrix Potential for Beer Exports Country Total US exports y. 2019 (in million dollars) Weight (25%) GDP per capita (in thousands$) Weight (20%) Beer Consumption per capita (in liters) Weight (30%) Population (in million) Weight (25%) Total China 14.....,394...4 Mexico 58.........5 Chile 169........7 Canada 106.........0 Germany 0.........7 Japan 30........0 Czech Rep. ........8 UK 22.........3 South Korea 66.........3 Netherlands 5.........5 Table 1 . Weighted Decision Matrix of Potential Exports Markets for Table and Kitchenware Weighted Decision Matrix of Potential Export Markets for Table and Kitchenware Criteria Weight C anada Germany China Netherlands United Kingdom Population Pop.

Growth rate Urbanization % GDP Per Capita GDP Growth Rate Export Value FAS Value Imported Value Weighted Score The Weighted Score is multiplied by the weight to arrive at the total weighted score. Quantitative analysis of contending countries 2.1 Matrix Potential for Beer Exports Country Total US exports y. 2019 (in million dollars) Weight (25%) GDP per capita (in thousands$) Weight (20%) Beer Consumption per capita (in liters) Weight (30%) Population (in million) Weight (25%) Total China 14.6 3.7 18.2 3.6 32 9.6 1,394.0 348.5 365.4 Mexico 58.9 14.7 19.9 4.0 62.1 18.63 128.6 32.2 69.5 Chile 169.2 42.3 24.6 4..9 18.2 4.5 64.7 Canada 106.4 26.6 48.4 9.7 57.7 17.31 37.7 9.4 63.0 Germany 0.9 0.2 50.8 10.2 104.2 31.26 80.2 20.0 61.7 Japan 30.6 7.7 42.9 8.6 41.4 12..4 60.0 Czech Rep.

0 0.0 35.5 7.1 143.3 42.99 10.7 2.7 52.8 UK 22.2 5.6 44.8 9.0 67.7 20.31 65.8 16.4 51.3 South Korea 66.6 16.7 39.5 7.9 42.8 12.84 51.8 13.0 50.3 Netherlands 5.8 1.5 53.9 10.8 69.8 20.94 17.3 4.3 37.5 Table 1. Weighted Decision Matrix of Potential Exports Markets for Table and Kitchenware Weighted Decision Matrix of Potential Export Markets for Table and Kitchenware Criteria Weight Canada Germany China Netherlands United Kingdom Population Pop. Growth rate Urbanization % GDP Per Capita GDP Growth Rate Export Value FAS Value Imported Value The Weighted Score is multiplied by the weight to arrive at the total weighted score. Quantitative analysis of contending countries EXPORT TARGET MARKET REPORT Company Logo Prepared By: First Last, Title First Last, Title Date Add your consulting firm’s logo here Executive Summary An executive summary is a concise description of what the report contains.

Pull important points from the body of the report and put them into the executive summary. Include the major findings, analysis and conclusions. A good executive summary allows the reader to understand the basic content of the report without reading the report. 150 to 250 words. This must include the recommended top market and a brief summary of why it is the best market.

Introduction Purpose The purpose of this report is to identify the top country markets for export. Identifying, assessing and choosing the right foreign markets to pursue makes export success more likely. Narrowing down possible export markets to three countries will allow a more focused export strategy. Background Describe your client company here in a short paragraph Method of investigation This study uses a decision matrix methodology with data from Gazelle.AI, IBISWorld, and USITC Trade Dataweb. A decision matrix evaluates and prioritizes a list of options (i.e., possible export markets) and is a decision-making tool.

The team first establishes a list of weighted criteria and then evaluates each option against those criteria. Scope This research considers all 195 countries in the world in order to select the top three export market potential countries. The report identifies the top three markets with export market potential and further market analysis is needed to determine whether this potential can be actualized. The examination of the top market and market entry strategy will follow in the Export Marketing Plan report. Market Potential Analysis Criteria #1 Name: Data Source: Weight: Justification: Criteria #2 Name: Data Source: Weight: Justification: Criteria #3 Name: Data Source: Weight: Justification: Criteria #4 Name: Data Source: Weight: Justification: Criteria #5 Name: Data Source: Weight: Justification: Table X.

Weighted Decision Matrix of Potential Exports Markets for Product X Criteria Weight Country 1 Country 2 Country 3 Country 4 Country 5 Country 6 Country 7 Weighted Score Sources: Top Export Potential Markets 1. Country X 2. County Y 3. Country Z Discussion/Conclusions One of the key aspects of a business report conclusion is summarizing the information for your reader. Your summary should mirror your opening or executive summary, recapping highlights that lead to a conclusion.

After you’ve summarized the contents, it’s important that you provide an action plan or recommendation based on the information in the report. This doesn’t have to be super specific, but it should give the reader a general overview of your assessments about the report, and some of the steps necessary to accomplish a task, fix a problem or implement a solution. References Appendixes

Paper For Above instruction

The decision to export bottled malt beer to international markets involves a comprehensive analysis of various market indicators and factors to identify the most promising opportunities. A structured decision matrix approach is instrumental in evaluating potential markets based on relevant criteria, including export volume, export growth, import activity, consumer behavior, income levels, and overall market potential. This method ensures a rational and transparent selection process that aligns with the strategic goals of the exporting company.

The primary step involves selecting indicators that accurately reflect market potential. In this case, indicators such as the volume of beer exported from the US, export growth rates, import levels into the US, per capita beer consumption, and per capita income were chosen. These indicators collectively provide a snapshot of market activity, consumer demand, and economic capacity, which are crucial for assessing exporting prospects.

Each indicator was assigned a weight based on its perceived importance. For example, export volume and growth rates received higher weights because they directly indicate the market's activity level and potential for continued growth. Per capita consumption and income levels also received substantial weights, reflecting consumer purchasing power and market size. Import activity serves as a validation of market receptivity and existing trade flows, thus influencing export strategies.

Using the weighted decision matrix, potential markets such as Chile, Canada, and South Korea were scored and ranked. Chile showed significant export growth, making it a top candidate due to its expanding demand and favorable trade relations. Canada, with substantial import volume and proximity, was also highly ranked as a stable and accessible market. South Korea displayed exceptional growth rates in export, indicating rapidly increasing demand for malt beer, thus positioning it as an attractive target.

Furthermore, the matrix analysis was supported by trade data from USITC, which detailed export and import volumes for different countries. For example, Chile's exports to the US have increased significantly, reflecting a strong demand for malt beer in that country. Similarly, Canada's robust import figures affirm its status as a major importer with stable market conditions. South Korea's dynamic market, characterized by high growth rates abroad, further validates its potential.

The quantitative analysis was complemented by considerations of demographic and economic indicators, such as per capita income and beer consumption per capita. Countries with higher disposable income and greater beer consumption per person are more likely to sustain and expand demand for malt beer, making them more compelling targets for export.

Based on this analysis, the top potential markets identified were Chile, Canada, and South Korea, each exhibiting specific advantages that align with the company's export strategy and capacity. For instance, Chile's high export growth suggests immediate opportunities, while Canada's established trade relations offer ease of market entry. South Korea's rapid growth indicates long-term potential, albeit with the need for strategic marketing and distribution efforts.

Establishing the most favorable markets through decision matrix analysis enables the export company to focus resources effectively, develop tailored entry strategies, and mitigate risks. Further market research and entry planning are necessary to operationalize these findings and capitalize on