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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 201250 of 4012 papers

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Need is All You Need: Homeostatic Neural Networks Adapt to Concept ShiftCode1
Positive, Negative and Neutral: Modeling Implicit Feedback in Session-based News RecommendationCode1
POLITICS: Pretraining with Same-story Article Comparison for Ideology Prediction and Stance DetectionCode1
Thai Nested Named Entity Recognition CorpusCode1
Tackling Fake News Detection by Continually Improving Social Context Representations using Graph Neural NetworksCode1
There’s a Time and Place for Reasoning Beyond the ImageCode1
Instilling Type Knowledge in Language Models via Multi-Task QACode1
Monant Medical Misinformation Dataset: Mapping Articles to Fact-Checked ClaimsCode1
Guidelines for reporting cell types: the MIRACL standardCode1
How does fake news use a thumbnail? CLIP-based Multimodal Detection on the Unrepresentative News ImageCode1
A Generative Approach for Financial Causality ExtractionCode1
NeuS: Neutral Multi-News Summarization for Mitigating Framing BiasCode1
Computer Science Named Entity Recognition in the Open Research Knowledge GraphCode1
IAM: A Comprehensive and Large-Scale Dataset for Integrated Argument Mining TasksCode1
Show Me More Details: Discovering Hierarchies of Procedures from Semi-structured Web DataCode1
Faking Fake News for Real Fake News Detection: Propaganda-loaded Training Data GenerationCode1
NELA-GT-2022: A Large Multi-Labelled News Dataset for The Study of Misinformation in News ArticlesCode1
Contextual Attention Network: Transformer Meets U-NetCode1
There is a Time and Place for Reasoning Beyond the ImageCode1
PMC-Patients: A Large-scale Dataset of Patient Summaries and Relations for Benchmarking Retrieval-based Clinical Decision Support SystemsCode1
MuMiN: A Large-Scale Multilingual Multimodal Fact-Checked Misinformation Social Network DatasetCode1
Models and Datasets for Cross-Lingual SummarisationCode1
JaQuAD: Japanese Question Answering Dataset for Machine Reading ComprehensionCode1
Is the Performance of My Deep Network Too Good to Be True? A Direct Approach to Estimating the Bayes Error in Binary ClassificationCode1
A Knowledge Graph Embeddings based Approach for Author Name Disambiguation using LiteralsCode1
SciBERTSUM: Extractive Summarization for Scientific DocumentsCode1
Multilingual Open Text Release 1: Public Domain News in 44 LanguagesCode1
LeSICiN: A Heterogeneous Graph-based Approach for Automatic Legal Statute Identification from Indian Legal DocumentsCode1
Article Reranking by Memory-Enhanced Key Sentence Matching for Detecting Previously Fact-Checked ClaimsCode1
MuMuQA: Multimedia Multi-Hop News Question Answering via Cross-Media Knowledge Extraction and GroundingCode1
NewsClaims: A New Benchmark for Claim Detection from News with Attribute KnowledgeCode1
CrossSum: Beyond English-Centric Cross-Lingual Summarization for 1,500+ Language PairsCode1
CLICKER: A Computational LInguistics Classification Scheme for Educational ResourcesCode1
Enhancing Keyphrase Extraction from Academic Articles with their Reference InformationCode1
Testing the Generalization of Neural Language Models for COVID-19 Misinformation DetectionCode1
A Survey of Visual TransformersCode1
FINN.no Slates Dataset: A new Sequential Dataset Logging Interactions, allViewed Items and Click Responses/No-Click for Recommender Systems ResearchCode1
Neural Media Bias Detection Using Distant Supervision With BABE - Bias Annotations By ExpertsCode1
Analysing Human Strategies of Information Transmission as a Function of Discourse ContextCode1
MassiveSumm: a very large-scale, very multilingual, news summarisation datasetCode1
RollingLDA: An Update Algorithm of Latent Dirichlet Allocation to Construct Consistent Time Series from Textual DataCode1
Timeline Summarization based on Event Graph Compression via Time-Aware Optimal TransportCode1
Evidence-based Fact-Checking of Health-related ClaimsCode1
Paperfetcher: A tool to automate handsearch for systematic reviewsCode1
SciCap: Generating Captions for Scientific FiguresCode1
ClimateBert: A Pretrained Language Model for Climate-Related TextCode1
DirectQuote: A Dataset for Direct Quotation Extraction and Attribution in News ArticlesCode1
ASPECTNEWS: Aspect-Oriented Summarization of News DocumentsCode1
SportsSum2.0: Generating High-Quality Sports News from Live Text CommentaryCode1
Yuan 1.0: Large-Scale Pre-trained Language Model in Zero-Shot and Few-Shot LearningCode1
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