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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 34013450 of 4012 papers

TitleStatusHype
Extracting Parallel Sentences with Bidirectional Recurrent Neural Networks to Improve Machine TranslationCode0
CyberWallE at SemEval-2020 Task 11: An Analysis of Feature Engineering for Ensemble Models for Propaganda DetectionCode0
Extracting RDF Triples from Raw TextCode0
Extracting Space Situational Awareness Events from News TextCode0
CXMArena: Unified Dataset to benchmark performance in realistic CXM ScenariosCode0
CSI: A Hybrid Deep Model for Fake News DetectionCode0
CsFEVER and CTKFacts: Acquiring Czech data for fact verificationCode0
LLM-based feature generation from text for interpretable machine learningCode0
Roamify: Designing and Evaluating an LLM Based Google Chrome Extension for Personalised Itinerary PlanningCode0
LLM-Collaboration on Automatic Science Journalism for the General AudienceCode0
CrudeOilNews: An Annotated Crude Oil News Corpus for Event ExtractionCode0
Entity-driven Fact-aware Abstractive Summarization of Biomedical LiteratureCode0
Enriching language models with graph-based context information to better understand textual dataCode0
LLM-GEm: Large Language Model-Guided Prediction of People’s Empathy Levels towards Newspaper ArticleCode0
RoBERTa-based Traditional Chinese Medicine Named Entity Recognition ModelCode0
OpenEL: An Annotated Corpus for Entity Linking and Discourse in Open Domain DialogueCode0
Enriched BERT Embeddings for Scholarly Publication ClassificationCode0
LLM Teacher-Student Framework for Text Classification With No Manually Annotated Data: A Case Study in IPTC News Topic ClassificationCode0
Crowdsourcing StoryLines: Harnessing the Crowd for Causal Relation AnnotationCode0
Factuality Assessment as Modal Dependency ParsingCode0
Enhancing Keyphrase Extraction from Academic Articles Using Section Structure InformationCode0
LLVMs4Protest: Harnessing the Power of Large Language and Vision Models for Deciphering Protests in the NewsCode0
How Graph Structure and Label Dependencies Contribute to Node Classification in a Large Network of DocumentsCode0
Fair Ranking as Fair Division: Impact-Based Individual Fairness in RankingCode0
FakeFlow: Fake News Detection by Modeling the Flow of Affective InformationCode0
Cross-Modal Commentator: Automatic Machine Commenting Based on Cross-Modal InformationCode0
Fake News Detection: Comparative Evaluation of BERT-like Models and Large Language Models with Generative AI-Annotated DataCode0
Word Embeddings for the Armenian Language: Intrinsic and Extrinsic EvaluationCode0
Tortured phrases: A dubious writing style emerging in science. Evidence of critical issues affecting established journalsCode0
Localization of Fake News Detection via Multitask Transfer LearningCode0
Robust Misinformation Detection by Visiting Potential Commonsense ConflictCode0
FAKEDETECTOR: Effective Fake News Detection with Deep Diffusive Neural NetworkCode0
Locating Information Gaps and Narrative Inconsistencies Across Languages: A Case Study of LGBT People Portrayals on WikipediaCode0
Enhancing Identification of Structure Function of Academic Articles Using Contextual InformationCode0
A Novel Contrastive Learning Method for Clickbait Detection on RoCliCo: A Romanian Clickbait Corpus of News ArticlesCode0
All Things Considered: Detecting Partisan Events from News Media with Cross-Article ComparisonCode0
Long-Document Cross-Lingual SummarizationCode0
End-to-End Open-Domain Question Answering with BERTseriniCode0
FAMuS: Frames Across Multiple SourcesCode0
FANG-COVID: A New Large-Scale Benchmark Dataset for Fake News Detection in GermanCode0
Long Range Language Modeling via Gated State SpacesCode0
End-to-End n-ary Relation Extraction for Combination Drug TherapiesCode0
KRED: Knowledge-Aware Document Representation for News RecommendationsCode0
A Dataset for Document Grounded ConversationsCode0
Cross-lingual Transfer Learning for Fake News Detector in a Low-Resource LanguageCode0
Empowering NLG: Offline Reinforcement Learning for Informal Summarization in Online DomainsCode0
Lost in Space: Geolocation in Event DataCode0
WikiMatrix: Mining 135M Parallel Sentences in 1620 Language Pairs from WikipediaCode0
Low Rank Factorization for Compact Multi-Head Self-AttentionCode0
Empowering Meta-Analysis: Leveraging Large Language Models for Scientific SynthesisCode0
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