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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 25512600 of 4012 papers

TitleStatusHype
Scalable Cross-lingual Document Similarity through Language-specific Concept HierarchiesCode0
The Style-Content Duality of Attractiveness: Learning to Write Eye-Catching Headlines via Disentanglement0
Checklist for responsible deep learning modeling of medical images based on COVID-19 detection studiesCode0
KOSMOS: Knowledge-graph Oriented Social media and Mainstream media Overview System0
BioMedBERT: A Pre-trained Biomedical Language Model for QA and IR0
Automating Document Classification with Distant Supervision to Increase the Efficiency of Systematic Reviews0
Combining Machine Learning and Human Experts to Predict Match Outcomes in Football: A Baseline Model0
Cross-lingual Transfer of Abstractive Summarizer to Less-resource Language0
Large-scale Quantitative Evidence of Media Impact on Public Opinion toward China0
COVIDScholar: An automated COVID-19 research aggregation and analysis platform0
Event Guided Denoising for Multilingual Relation Learning0
Bengali Abstractive News Summarization(BANS): A Neural Attention ApproachCode0
Drugs4Covid: Drug-driven Knowledge Exploitation based on Scientific Publications0
Context in Informational Bias DetectionCode0
CORA: A Deep Active Learning Covid-19 Relevancy Algorithm to Identify Core Scientific Articles0
Distinguishing Between Foreground and Background Events in News0
Hierarchical Trivia Fact Extraction from Wikipedia Articles0
Discriminating between standard Romanian and Moldavian tweets using filtered character ngramsCode0
Effective Use of Target-side Context for Neural Machine Translation0
A Vietnamese Dataset for Evaluating Machine Reading Comprehension0
Embedding Semantic Taxonomies0
SemEval-2020 Task 11: Detection of Propaganda Techniques in News Articles0
Semi-Supervised Topic Modeling for Gender Bias Discovery in English and Swedish0
Sentiment Analysis for Emotional Speech Synthesis in a News Dialogue System0
Developing a Curated Topic Model for COVID-19 Medical Research Literature0
SkoltechNLP at SemEval-2020 Task 11: Exploring Unsupervised Text Augmentation for Propaganda Detection0
PsuedoProp at SemEval-2020 Task 11: Propaganda Span Detection Using BERT-CRF and Ensemble Sentence Level Classifier0
Event-Guided Denoising for Multilingual Relation Learning0
Explainable and Sparse Representations of Academic Articles for Knowledge Exploration0
Multilingual Epidemiological Text Classification: A Comparative Study0
A Systematic Literature Review on Federated Learning: From A Model Quality Perspective0
Style Analysis of Argumentative Texts by Mining Rhetorical Devices0
Predicting Personal Opinion on Future Events with Fingerprints0
A Simple Text-based Relevant Location Prediction Method using Knowledge Base0
Fact vs. Opinion: the Role of Argumentation Features in News Classification0
Are We Ready for this Disaster? Towards Location Mention Recognition from Crisis Tweets0
Task-Aware Representation of Sentences for Generic Text Classification0
Team DiSaster at SemEval-2020 Task 11: Combining BERT and Hand-crafted Features for Identifying Propaganda Techniques in News0
JUST at SemEval-2020 Task 11: Detecting Propaganda Techniques Using BERT Pre-trained Model0
Answering Legal Questions by Learning Neural Attentive Text Representation0
3218IR at SemEval-2020 Task 11: Conv1D and Word Embedding in Propaganda Span Identification at News Articles0
Use of Claim Graphing and Argumentation Schemes in Biomedical Literature: A Manual Approach to Analysis0
Annotating Topics, Stance, Argumentativeness and Claims in Dutch Social Media Comments: A Pilot Study0
Concept Wikification for COVID-19Code0
Introducing Inter-Relatedness between Wikipedia Articles in Explicit Semantic Analysis0
Inno at SemEval-2020 Task 11: Leveraging Pure Transfomer for Multi-Class Propaganda Detection0
Context-Aware Word Segmentation for Chinese Real-World Discourse0
Neural language models for text classification in evidence-based medicine0
A New Approach to Claim Check-Worthiness Prediction and Claim Verification0
Overcoming Resistance: The Normalization of an Amazonian Tribal Language0
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