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:
-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
1import cohere
2co = cohere.Client('{apiKey}')
3response = co.generate(
4 model='command',
5 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:',
6 max_tokens=200,
7 temperature=0.2,
8 k=0,
9 p=0.75,
10 frequency_penalty=0,
11 presence_penalty=0,
12 stop_sequences=[],
13 return_likelihoods='NONE')
14print('Prediction: {}'.format(response.generations[0].text))| model_size | command |
| k | 0 |
| frequency_penalty | 0 |
| p | 0.75 |
| presence_penalty | 0 |
| max_tokens | 200 |
| temperature | 0.2 |