Business Model Canvas

Generate a business model canvas for a satellite

Generate Content

Business

Input

Generate a Business Model Canvas consisting of the following nine building blocks.
1 - Customer Segments
2 - Value Propositions
3 - Channels
4 - Customer Relationships
5 - Revenue Streams
6 - Key Resources
7 - Key Activities
8 - Key Partners
9 - Cost Structure

Business Model Canvas
Product: Satellite broadband service

1 - Customer Segments:

Sample Response

-Residential
-Business
-Government
-Military
-Education

2 - Value Propositions:
-High-speed internet service
-Flexible data plans
-24/7 customer support

3 - Channels:
-Online
-TV
-Radio
-Billboards

4 - Customer Relationships:
-One-time purchase
-Recurring subscription
-Lease
-Licensing

5 - Revenue Streams:
-Service fees
-Equipment sales
-Advertising
-Referral fees

6 - Key Resources:
-Employees
-Equipment
-Software
-Data

7 - Key Activities:
-Installation
-Maintenance
-Technical support
-Marketing

8 - Key Partners:
-Suppliers
-Distributors
-Advertisers
-Referral sources

9 - Cost Structure:
-Labor
-Equipment
-Software
-Data
-Advertising- Refer

API Request

import cohere
co = cohere.Client('{apiKey}')
response = co.generate(
  model='command-xlarge-20221108',
  prompt='Generate a Business Model Canvas consisting of the following nine building blocks.\n1 - Customer Segments\n2 - Value Propositions\n3 - Channels\n4 - Customer Relationships\n5 - Revenue Streams\n6 - Key Resources\n7 - Key Activities\n8 - Key Partners\n9 - Cost Structure\n\nBusiness Model Canvas\nProduct: Satellite broadband service\n\n1 - Customer Segments:',
  max_tokens=200,
  temperature=0.2,
  k=0,
  p=0.75,
  frequency_penalty=0,
  presence_penalty=0,
  stop_sequences=[],
  return_likelihoods='NONE')
print('Prediction: {}'.format(response.generations[0].text))

Parameters

model_size	command xlarge
frequency_penalty	0
k	0
max_tokens	200
p	0.75
presence_penalty	0
temperature	0.2