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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
A Corpus with Multi-Level Annotations of Patients, Interventions and Outcomes to Support Language Processing for Medical LiteratureCode0
SciDTB: Discourse Dependency TreeBank for Scientific AbstractsCode0
An Exploration of Unreliable News Classification in Brazil and The U.S0
DRCD: a Chinese Machine Reading Comprehension DatasetCode0
Prediction for the Newsroom: Which Articles Will Get the Most Comments?Code0
KOI at SemEval-2018 Task 5: Building Knowledge Graph of Incidents0
Scalable Construction and Reasoning of Massive Knowledge Bases0
Inducing Temporal Relations from Time Anchor AnnotationCode0
FEUP at SemEval-2018 Task 5: An Experimental Study of a Question Answering System0
MIT-MEDG at SemEval-2018 Task 7: Semantic Relation Classification via Convolution Neural Network0
Paths for uncertainty: Exploring the intricacies of uncertainty identification for news0
Cross-language Article Linking Using Cross-Encyclopedia Entity Embedding0
Key2Vec: Automatic Ranked Keyphrase Extraction from Scientific Articles using Phrase Embeddings0
Neural Storyline Extraction Model for Storyline Generation from News Articles0
Deep Dirichlet Multinomial RegressionCode0
Corpus Conversion Service: A Machine Learning Platform to Ingest Documents at Scale0
FAKEDETECTOR: Effective Fake News Detection with Deep Diffusive Neural NetworkCode0
Corpus Conversion Service: A machine learning platform to ingest documents at scale [Poster abstract]0
Simplifying Sentences with Sequence to Sequence Models0
Harvesting Paragraph-Level Question-Answer Pairs from WikipediaCode0
Bianet: A Parallel News Corpus in Turkish, Kurdish and English0
Automatic Article Commenting: the Task and Dataset0
Category-Based Deep CCA for Fine-Grained Venue Discovery from Multimodal Data0
Dynamic and Static Topic Model for Analyzing Time-Series Document Collections0
The State of the Art in Developing Fuzzy Ontologies: A Survey0
Scalable Semantic Querying of Text0
SynTF: Synthetic and Differentially Private Term Frequency Vectors for Privacy-Preserving Text Mining0
A Parallel Corpus of Arabic-Japanese News Articles0
PDFdigest: an Adaptable Layout-Aware PDF-to-XML Textual Content Extractor for Scientific Articles0
BASHI: A Corpus of Wall Street Journal Articles Annotated with Bridging Links0
Actes de la Conf\'erence TALN. Volume 2 - D\'emonstrations, articles des Rencontres Jeunes Chercheurs, ateliers DeFT0
FrNewsLink : a corpus linking TV Broadcast News Segments and Press Articles0
Lieu et nom de lieu, du texte vers sa repr\'esentation cartographique (Place and place name, from text to its cartographic portrayal)0
Correction of OCR Word Segmentation Errors in Articles from the ACL Collection through Neural Machine Translation Methods0
Distribution of Emotional Reactions to News Articles in Twitter0
Actes de la Conf\'erence TALN. Volume 1 - Articles longs, articles courts de TALN0
Profiling Medical Journal Articles Using a Gene Ontology Semantic TaggerCode0
Apprendre de la litt\'erature scientifique : Les r\'eseaux de signalisation en biologie syst\'emique (Literature-based discovery: Signaling Systems in Systemic Biology)0
Newsroom: A Dataset of 1.3 Million Summaries with Diverse Extractive StrategiesCode0
How does the AI understand what's going on0
Semi-supervised Content-based Detection of Misinformation via Tensor Embeddings0
Data-driven Summarization of Scientific ArticlesCode0
Approaches for Enriching and Improving Textual Knowledge Bases0
ClaimRank: Detecting Check-Worthy Claims in Arabic and English0
LCMR: Local and Centralized Memories for Collaborative Filtering with Unstructured Text0
Improving Temporal Relation Extraction with a Globally Acquired Statistical Resource0
INtERAcT: Interaction Network Inference from Vector Representations of Words0
CL Scholar: The ACL Anthology Knowledge Graph Miner0
Quootstrap: Scalable Unsupervised Extraction of Quotation-Speaker Pairs from Large News Corpora via BootstrappingCode0
Modeling Popularity in Asynchronous Social Media Streams with Recurrent Neural Networks0
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