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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 37013750 of 4012 papers

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Prediction for the Newsroom: Which Articles Will Get the Most Comments?Code0
BERT is not The Count: Learning to Match Mathematical Statements with ProofsCode0
Analysing State-Backed Propaganda Websites: a New Dataset and Linguistic StudyCode0
Table and Image Generation for Investigating Knowledge of Entities in Pre-trained Vision and Language ModelsCode0
"Don't quote me on that": Finding Mixtures of Sources in News ArticlesCode0
XWikiGen: Cross-lingual Summarization for Encyclopedic Text Generation in Low Resource LanguagesCode0
A Contextual-Bandit Approach to Personalized News Article RecommendationCode0
Modeling Subjective Assessments of Guilt in Newspaper Crime NarrativesCode0
How to Engage Your Readers? Generating Guiding Questions to Promote Active ReadingCode0
A Multiple Choices Reading Comprehension Corpus for Vietnamese Language EducationCode0
How well ChatGPT understand Malaysian English? An Evaluation on Named Entity Recognition and Relation ExtractionCode0
Don't Give Me the Details, Just the Summary! Topic-Aware Convolutional Neural Networks for Extreme SummarizationCode0
Assessing LLMs for Zero-shot Abstractive Summarization Through the Lens of Relevance ParaphrasingCode0
Priberam at MESINESP Multi-label Classification of Medical Texts TaskCode0
HumVI: A Multilingual Dataset for Detecting Violent Incidents Impacting Humanitarian AidCode0
PRISM: A Framework for Producing Interpretable Political Bias Embeddings with Political-Aware Cross-EncoderCode0
Checklist for responsible deep learning modeling of medical images based on COVID-19 detection studiesCode0
Context in Informational Bias DetectionCode0
Bengali Abstractive News Summarization(BANS): A Neural Attention ApproachCode0
The Rise of AI-Generated Content in WikipediaCode0
The Rise of Open Science: Tracking the Evolution and Perceived Value of Data and Methods Link-Sharing PracticesCode0
MOKA: Moral Knowledge Augmentation for Moral Event ExtractionCode0
An Exploratory Study on Long Dialogue Summarization: What Works and What's NextCode0
Tackling Fake News in Bengali: Unraveling the Impact of Summarization vs. Augmentation on Pre-trained Language ModelsCode0
Domain-Specific Word Embeddings with Structure PredictionCode0
ICECAP: Information Concentrated Entity-aware Image CaptioningCode0
Content Selection in Deep Learning Models of SummarizationCode0
IDCIA: Immunocytochemistry Dataset for Cellular Image AnalysisCode0
Content-based recommendations with Poisson factorizationCode0
Content-Based Citation RecommendationCode0
Probing Biomedical Embeddings from Language ModelsCode0
Benchmarking Foundation Models on Exceptional Cases: Dataset Creation and ValidationCode0
WikiReading: A Novel Large-scale Language Understanding Task over WikipediaCode0
Align then Summarize: Automatic Alignment Methods for Summarization Corpus CreationCode0
ALDi: Quantifying the Arabic Level of Dialectness of TextCode0
ProFairRec: Provider Fairness-aware News RecommendationCode0
Profiling Medical Journal Articles Using a Gene Ontology Semantic TaggerCode0
Identifying chronological and coherent information threads using 5W1H questions and temporal relationshipsCode0
Assessing Gender Bias in Wikipedia: Inequalities in Article TitlesCode0
MSciNLI: A Diverse Benchmark for Scientific Natural Language InferenceCode0
We used Neural Networks to Detect Clickbaits: You won't believe what happened Next!Code0
MuLMS: A Multi-Layer Annotated Text Corpus for Information Extraction in the Materials Science DomainCode0
MuLMS-AZ: An Argumentative Zoning Dataset for the Materials Science DomainCode0
Identifying Emergent Research Trends by Key Authors and PhrasesCode0
Identifying Informational Sources in News ArticlesCode0
Identifying Key Sentences for Precision Oncology Using Semi-Supervised LearningCode0
Domain-independent Extraction of Scientific Concepts from Research ArticlesCode0
BeliN: A Novel Corpus for Bengali Religious News Headline Generation using Contextual Feature FusionCode0
Content Aware Analysis of Scholarly Networks: A Case Study on CORD19 DatasetCode0
Tailoring and Evaluating the Wikipedia for in-Domain Comparable Corpora ExtractionCode0
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