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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 351400 of 4012 papers

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CAT-LLM: Prompting Large Language Models with Text Style Definition for Chinese Article-style TransferCode1
Benchmarking the Generation of Fact Checking ExplanationsCode1
Automatic Text Summarization of COVID-19 Medical Research Articles using BERT and GPT-2Code1
Author's Sentiment PredictionCode1
Attractive or Faithful? Popularity-Reinforced Learning for Inspired Headline GenerationCode1
Automated Review Generation Method Based on Large Language ModelsCode1
A Heuristic-driven Uncertainty based Ensemble Framework for Fake News Detection in Tweets and News ArticlesCode1
M6Doc: A Large-Scale Multi-Format, Multi-Type, Multi-Layout, Multi-Language, Multi-Annotation Category Dataset for Modern Document Layout AnalysisCode1
Making Science Simple: Corpora for the Lay Summarisation of Scientific LiteratureCode1
MapQA: A Dataset for Question Answering on Choropleth MapsCode1
BioChemInsight: An Open-Source Toolkit for Automated Identification and Recognition of Optical Chemical Structures and Activity Data in Scientific PublicationsCode1
MicroVQA: A Multimodal Reasoning Benchmark for Microscopy-Based Scientific ResearchCode1
ASPECTNEWS: Aspect-Oriented Summarization of News DocumentsCode1
MLQE-PE: A Multilingual Quality Estimation and Post-Editing DatasetCode1
Models and Datasets for Cross-Lingual SummarisationCode1
MOLE: Metadata Extraction and Validation in Scientific Papers Using LLMsCode1
Modular Multimodal Machine Learning for Extraction of Theorems and Proofs in Long Scientific Documents (Extended Version)Code1
Multiple Instance Captioning: Learning Representations from Histopathology Textbooks and ArticlesCode1
Multi-View Sequence-to-Sequence Models with Conversational Structure for Abstractive Dialogue SummarizationCode1
Multi-XScience: A Large-scale Dataset for Extreme Multi-document Summarization of Scientific ArticlesCode1
A Statutory Article Retrieval Dataset in FrenchCode1
aschern at SemEval-2020 Task 11: It Takes Three to Tango: RoBERTa, CRF, and Transfer LearningCode1
Ask to Know More: Generating Counterfactual Explanations for Fake ClaimsCode1
Named Entity Recognition without Labelled Data: A Weak Supervision ApproachCode1
A Survey of Visual TransformersCode1
Neural Media Bias Detection Using Distant Supervision With BABE -- Bias Annotations By ExpertsCode1
NewsClaims: A New Benchmark for Claim Detection from News with Attribute KnowledgeCode1
NewsEdits: A News Article Revision Dataset and a Document-Level Reasoning ChallengeCode1
NewsMTSC: A Dataset for (Multi-)Target-dependent Sentiment Classification in Political News ArticlesCode1
NewsQA: A Machine Comprehension DatasetCode1
newsSweeper at SemEval-2020 Task 11: Context-Aware Rich Feature Representations For Propaganda ClassificationCode1
Newswire: A Large-Scale Structured Database of a Century of Historical NewsCode1
BioELECTRA:Pretrained Biomedical text Encoder using DiscriminatorsCode1
Open4Business(O4B): An Open Access Dataset for Summarizing Business DocumentsCode1
Pairwise Multi-Class Document Classification for Semantic Relations between Wikipedia ArticlesCode1
Paperfetcher: A tool to automate handsearch for systematic reviewsCode1
People who frequently use ChatGPT for writing tasks are accurate and robust detectors of AI-generated textCode1
Persian Keyphrase Generation Using Sequence-to-Sequence ModelsCode1
AnthroScore: A Computational Linguistic Measure of AnthropomorphismCode1
PLLaMa: An Open-source Large Language Model for Plant ScienceCode1
Positive, Negative and Neutral: Modeling Implicit Feedback in Session-based News RecommendationCode1
Predicting Factuality of Reporting and Bias of News Media SourcesCode1
Privacy-Preserving News Recommendation Model LearningCode1
Problematic Machine Behavior: A Systematic Literature Review of Algorithm AuditsCode1
CausalMob: Causal Human Mobility Prediction with LLMs-derived Human Intentions toward Public EventsCode1
PROXYQA: An Alternative Framework for Evaluating Long-Form Text Generation with Large Language ModelsCode1
AI Literature Review SuiteCode1
QuTI! Quantifying Text-Image Consistency in Multimodal DocumentsCode1
Going Beyond Local: Global Graph-Enhanced Personalized News RecommendationsCode1
A Method for Building Burst-Annotated Co-Occurrence Networks for Analysing Trends in Textual Data0
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