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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 101150 of 4012 papers

TitleStatusHype
ECTSum: A New Benchmark Dataset For Bullet Point Summarization of Long Earnings Call TranscriptsCode1
Efficient Few-shot Learning for Multi-label Classification of Scientific Documents with Many ClassesCode1
A Statutory Article Retrieval Dataset in FrenchCode1
ASPECTNEWS: Aspect-Oriented Summarization of News DocumentsCode1
Distinguish Confusing Law Articles for Legal Judgment PredictionCode1
Cross-document Misinformation Detection based on Event Graph ReasoningCode1
Abstractive Summarization of Spoken and Written Instructions with BERTCode1
A Survey of Visual TransformersCode1
Enhancing Keyphrase Extraction from Academic Articles with their Reference InformationCode1
Ethics Sheet for Automatic Emotion Recognition and Sentiment AnalysisCode1
Critically Examining the Claimed Value of Convolutions over User-Item Embedding Maps for Recommender SystemsCode1
Evidence-based Fact-Checking of Health-related ClaimsCode1
Attractive or Faithful? Popularity-Reinforced Learning for Inspired Headline GenerationCode1
Exploring Fake News Detection with Heterogeneous Social Media Context GraphsCode1
Extractive Summarization using Deep LearningCode1
Adapting Fake News Detection to the Era of Large Language ModelsCode1
Factify 2: A Multimodal Fake News and Satire News DatasetCode1
Author's Sentiment PredictionCode1
Farsight: Fostering Responsible AI Awareness During AI Application PrototypingCode1
Fast Rhetorical Structure Theory Discourse ParsingCode1
Automated Review Generation Method Based on Large Language ModelsCode1
FENICE: Factuality Evaluation of summarization based on Natural language Inference and Claim ExtractionCode1
Crosslingual Topic Modeling with WikiPDACode1
COVID-Fact: Fact Extraction and Verification of Real-World Claims on COVID-19 PandemicCode1
COVID-19-CT-CXR: a freely accessible and weakly labeled chest X-ray and CT image collection on COVID-19 from biomedical literatureCode1
GANs in computer vision ebookCode1
COVID-QA: A Question Answering Dataset for COVID-19Code1
CrossSum: Beyond English-Centric Cross-Lingual Summarization for 1,500+ Language PairsCode1
A New Korean Text Classification Benchmark for Recognizing the Political Intents in Online NewspapersCode1
ConvoSumm: Conversation Summarization Benchmark and Improved Abstractive Summarization with Argument MiningCode1
Corpus-Level Evaluation for Event QA: The IndiaPoliceEvents Corpus Covering the 2002 Gujarat ViolenceCode1
Contextualization Distillation from Large Language Model for Knowledge Graph CompletionCode1
Controlling Fairness and Bias in Dynamic Learning-to-RankCode1
Counterfactual Causal Inference in Natural Language with Large Language ModelsCode1
CSFCube -- A Test Collection of Computer Science Research Articles for Faceted Query by ExampleCode1
Distinguish Confusion in Legal Judgment Prediction via Revised Relation KnowledgeCode1
An Approach to Ensure Fairness in News ArticlesCode1
An Empirical Survey on Long Document Summarization: Datasets, Models and MetricsCode1
3D Object Reconstruction from Hand-Object InteractionsCode1
A Comprehensive Survey on Cross-Domain Recommendation: Taxonomy, Progress, and ProspectsCode1
An Amharic News Text classification DatasetCode1
ConceptCLIP: Towards Trustworthy Medical AI via Concept-Enhanced Contrastive Langauge-Image Pre-trainingCode1
Compass-aligned Distributional Embeddings for Studying Semantic Differences across CorporaCode1
A survey on Adversarial Recommender Systems: from Attack/Defense strategies to Generative Adversarial NetworksCode1
Analysing Human Strategies of Information Transmission as a Function of Discourse ContextCode1
ClimateBert: A Pretrained Language Model for Climate-Related TextCode1
Computer Science Named Entity Recognition in the Open Research Knowledge GraphCode1
Classification Benchmarks for Under-resourced Bengali Language based on Multichannel Convolutional-LSTM NetworkCode1
ChatGPT Chemistry Assistant for Text Mining and Prediction of MOF SynthesisCode1
Classifying Scientific Publications with BERT -- Is Self-Attention a Feature Selection Method?Code1
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