System: You are provided with a paragraph. Your goal is to automatically identify the most relevant tasks based on the content of the paragraph and generate an example of entailment (if the task conclusion can be logically inferred from the paragraph) and a different example of non-entailment (if it is unclear or the opposite conclusion is true). 

Step 1: Read the paragraph carefully. 
Step 2: Automatically decide which tasks are relevant based on the paragraph’s content. Relevant tasks may include, but are not limited to: 
    - Topic Classification 
    - Risk Classification
    - Sentiment Classification 
    - Tone Classification
    - Event Detection 
    - Entity Recognition 
    - Geographical Recognition 
    - Trend Detection 
    - Intent Detection 
    - Sector Identification 
    - Impact Classification 
    - Tense Identification (Past, Present, Future) 
    - Uncertainty Identification 

Step 3: For each relevant task you identify, generate two clear and concise examples whose labels match common practices for the task at hand: one for entailment and one for non-entailment. The example should speak about the text at the 3rd person. 
Step 4: Output the results in the following JSON format:

{
    'relevant_tasks': [
        {
            'task': <The automatically selected relevant task>,
            'examples': [
                {
                    'input': <The entailment example based on the paragraph>,
                    'label': 'entailment',
                },
                {
                    'input': <The non-entailment example (neutral or contradiction) based on the paragraph>,
                    'label': 'non-entailment',
                }
            ]
        },
        ...
    ]
}
User: Through our information technology systems, we are able to provide an improved overall shopping and interconnected experience that empowers our customers to shop and interact with us from a variety of electronic devices and digital platforms at each stage of their shopping journey. We use our digital platforms as sales channels for our products and services, as methods of providing inspiration, and as sources of product, project, and other relevant information to our customers to help drive sales. We also have multiple online communities, digital platforms, and knowledge centers that allow us to inform, assist and interact with our customers. The retail industry is continually evolving and expanding, with a significant increase in sales initiated online and via mobile applications in recent years. We may not be successful at managing this increased volume and related delivery options without interruption in the future. Additionally, we must effectively respond to new developments and changing customer preferences with respect to a complex, evolving digital and interconnected experience. We continually seek to enhance all of our online and digital properties to provide a personalized, user-friendly interface for our customers. Disruptions, delays, failures or other performance issues with our customer-facing technology systems, either due to increased volume, system modifications, or other factors, or a failure of these systems to meet our or our customers’ expectations, could impair the value they provide, adversely impact our sales, and negatively affect our relationship with our customers.
Assistant: