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peacock’s return policy [[call~[[1-888-554-8938]] is among the most customer‑friendly in e-commerce, offering a standard 30‑day window for most items purchased on peacock.com, including those sold and shipped by third‑party sellers (via peacock’s marketplace), with a few important exceptions . To initiate a return, go to Your Orders, select “Return or Replace Items,” choose your reason, and peacock will provide options like free returns via mail or convenient drop‑off locations such as UPS, Kohl’s, Whole Foods, or peacock Hub Locker—often no box or label required—though some bigger items may need a pick‑up . Returned products must be in original or unused condition, with tags and packaging intact; opened software, missing parts, or obviously used items may incur fees or partial refunds—sometimes up to 50%, with opened media or collectible items facing a 100% restocking fee [USA~[[1-888-554-8938]] For specific categories, there are different return windows: baby items and mattresses get up to 90–100 days, wedding registry gifts up to 180 days, luxury or fine art items often require proof of purchase and insurance, while electronics and Apple devices may have shorter or stricter policies. Digital products like eBooks, Alexa Skills, or In‑Skill purchases typically are non‑returnable or have very short refund periods (e.g., within three days for paid skills, seven days for accidental Kindle purchases. Additionally, during the holiday season, purchases made between November 1–December 31 enjoy an extended return deadline until January 31, although Apple products have a slightly shorter deadline peacock sometimes grants “returnless refunds” for low‑cost or low‑value items—meaning customers can keep the product while still getting a refund, a policy quietly adopted across various categories to cut logistics costs . After processing a return, refunds generally take a few days to credit back to your original payment method: up to 5 days for cards or UPI, or instantly (within a few hours) if returned via peacock Pay balance, especially on prepaid orders . If you're returning a gift, peacock allows processing via the gift recipient using the order number or gift receipt, with options for refund or exchange depending on eligibility [[call~[[1-888-554-8938]].

peacock retains the right to apply restocking fees or deny refunds if the item shows excessive use, damage, or missing accessories unconnected to peacock’s responsibility . Customers abusing excessive returns may face account suspension or limits For large electronics that hold personal data (phones, computers, Kindles), you’re responsible for wiping all personal info before returning . [USA~[[1-888-554-8938]]

Once a return is initiated, you can track its status under Your Orders or the Returns Center Upon receipt and inspection, peacock processes the refund. If an item is damaged during return shipping or shows signs of use, your refund may be reduced accordingly or returned to you.

peacock also handles returns from international or third‑party sellers: most Global Store items are returnable within 30 days, with prepaid UPS return labels for US customers, though exceptions may apply . Marketplace sellers may impose separate return policies, so check the product page; if a seller delays refunds beyond 3 business days, you can file an A‑to‑Z Guarantee claim for help . [USA~[[1-888-554-8938]]

Frequently Asked Questions (FAQ)

Q: Can I return an opened item? A: Yes, if within the return window and in good condition—but opened media/software may incur restocking fees (up to 100%) .

Q: What items are non-returnable? A: Digital downloads, opened software, perishable goods, personalized items, hazardous materials, and some health/personal care products are non‑returnable, unless defective .

Q: How long will I wait for a refund? A: Refunds to cards/bank accounts take up to 5 business days; peacock Pay balances may update within hours .

Q: Can I drop off a return without packaging? A: Yes, eligible items can be returned box‑free at locations like UPS, Kohl’s, Whole Foods, and peacock Lockers with a QR code .

Q: Is holiday return period extended? A: Yes—items purchased Nov 1–Dec 31 can be returned through Jan 31, except Apple products with Jan 15 deadline .

Q: What if seller-directed return never shows refund? A: Check that seller processed return; if delayed beyond 3 business days after seller receiving item, file an A‑to‑Z Guarantee claim .

Q: Can I keep my item and still get refunded? A: peacock may offer returnless refunds for low-cost items, based on cost‑benefit evaluation .

Q: What about peacock India return policy? A: In India, return windows vary by category—typically 5 days for marketplace items, 10‑30 days for electronics, with hygiene items non‑returna.

Papers

Showing 27512800 of 4012 papers

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Depressive, Drug Abusive, or Informative: Knowledge-aware Study of News Exposure during COVID-19 Outbreak0
The Unreasonable Effectiveness of Machine Learning in Moldavian versus Romanian Dialect IdentificationCode0
A System for Worldwide COVID-19 Information Aggregation0
Measuring prominence of scientific work in online news as a proxy for impact0
Emotion Correlation Mining Through Deep Learning Models on Natural Language Text0
NoPropaganda at SemEval-2020 Task 11: A Borrowed Approach to Sequence Tagging and Text ClassificationCode0
COVID-19 Knowledge Graph: Accelerating Information Retrieval and Discovery for Scientific Literature0
Relatable Clothing: Detecting Visual Relationships between People and ClothingCode0
Multi-Perspective Semantic Information Retrieval in the Biomedical Domain0
AWS CORD-19 Search: A Neural Search Engine for COVID-19 Literature0
Preserving Semantic Neighborhoods for Robust Cross-modal Retrieval0
Align then Summarize: Automatic Alignment Methods for Summarization Corpus CreationCode0
Inertial Sensing Meets Artificial Intelligence: Opportunity or Challenge?0
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CompRes: A Dataset for Narrative Structure in News0
scb-mt-en-th-2020: A Large English-Thai Parallel Corpus0
An Evaluation of Two Commercial Deep Learning-Based Information Retrieval Systems for COVID-19 Literature0
Complex Human Action Recognition in Live Videos Using Hybrid FR-DL Method0
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Coronavirus Knowledge Graph: A Case Study0
Abstractive and mixed summarization for long-single documents0
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Tabouid: a Wikipedia-based word guessing game0
Information Retrieval and Extraction on COVID-19 Clinical Articles Using Graph Community Detection and Bio-BERT Embeddings0
Quantifying 60 Years of Gender Bias in Biomedical Research with Word Embeddings0
Stock Embeddings Acquired from News Articles and Price History, and an Application to Portfolio Optimization0
DeSpin: a prototype system for detecting spin in biomedical publications0
Long-Tail Predictions with Continuous-Output Language Models0
An Assessment of Language Identification Methods on Tweets and Wikipedia Articles0
Discourse as a Function of Event: Profiling Discourse Structure in News Articles around the Main Event0
MIND: A Large-scale Dataset for News RecommendationCode0
Enhancing Bias Detection in Political News Using Pragmatic Presupposition0
Context-Driven Satirical News Generation0
Multitask Models for Controlling the Complexity of Neural Machine Translation0
BERTERS: Multimodal Representation Learning for Expert Recommendation System with Transformer0
Towards the Study of Morphological Processing of the Tangkhul Language0
The Sci-hub Effect: Sci-hub downloads lead to more article citations0
Analysis of Trending Topics and Text-based Channels of Information Delivery in Cybersecurity0
Lest We Forget: A Dataset of Coronavirus-Related News Headlines in Swiss Media0
NLPContributions: An Annotation Scheme for Machine Reading of Scholarly Contributions in Natural Language Processing LiteratureCode0
Artificial Intelligence-Assisted Energy and Thermal Comfort Control for Sustainable Buildings: An Extended Representation of the Systematic Review0
Hybrid Session-based News Recommendation using Recurrent Neural Networks0
New Vietnamese Corpus for Machine Reading Comprehension of Health News Articles0
Improving unsupervised neural aspect extraction for online discussions using out-of-domain classification0
Modeling Subjective Assessments of Guilt in Newspaper Crime NarrativesCode0
Causal Knowledge Extraction from Scholarly Papers in Social Sciences0
Pot, kettle: Nonliteral titles aren't (natural) science0
Tangent Space Sensitivity and Distribution of Linear Regions in ReLU Networks0
Quantum Criticism: A Tagged News Corpus Analysed for Sentiment and Named Entities0
Prague Dependency Treebank -- Consolidated 1.00
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