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: Most of our services are provided on a turnkey basis, under which we purchase some, or all, of the required materials and components based on customer forecasts or orders. Although, in general, our commercial contracts with our customers obligate our customers to ultimately purchase inventory ordered to support their forecasts or orders, we generally finance these purchases initially. In addition, suppliers may require us to purchase materials and components in minimum order quantities that may exceed customer requirements. A customer’s cancellation, delay or reduction of forecasts or orders can also result in excess inventory or additional expense to us. Engineering changes by a customer may result in obsolete materials or components. While we attempt to cancel, return or otherwise mitigate excess and obsolete inventory, require customers to reimburse us for these items and/or price our services to address related risks, we may not actually be reimbursed timely or in full, be able to collect on these obligations or adequately reflect such risks in our pricing. In addition to increasing inventory in certain instances to support new program ramps, we may also increase inventory if we experience component shortages or longer lead times for certain components in order to maintain a high level of customer service. In such situations, we may procure components earlier, which has led to an increase in inventory in the short term and may lead to increased, excess, or obsolete inventory in the future. Excess or obsolete inventory, the need to acquire increasing amounts of inventory due to shortages, customer demand or otherwise, or other failures to manage our working capital, could adversely affect our operating results, including our return on invested capital.
Assistant: