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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 25012550 of 4012 papers

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SkoltechNLP at SemEval-2020 Task 11: Exploring Unsupervised Text Augmentation for Propaganda Detection0
A Systematic Literature Review on Federated Learning: From A Model Quality Perspective0
Introducing Inter-Relatedness between Wikipedia Articles in Explicit Semantic Analysis0
Neural language models for text classification in evidence-based medicine0
Learning to summarize with human feedbackCode2
CovidExplorer: A Multi-faceted AI-based Search and Visualization Engine for COVID-19 Information0
Denmark's Participation in the Search Engine TREC COVID-19 Challenge: Lessons Learned about Searching for Precise Biomedical Scientific Information on COVID-190
Gender bias in magazines oriented to men and women: a computational approach0
The Impact of Research Funding on Knowledge Creation and Dissemination: A study of SNSF Research Grants0
Mechanistic modeling of African swine fever: A systematic review0
An Integrated Approach for Improving Brand Consistency of Web Content: Modeling, Analysis and RecommendationCode0
Emotions in Online Content Diffusion0
WikiAsp: A Dataset for Multi-domain Aspect-based SummarizationCode1
Deep Learning -- A first Meta-Survey of selected Reviews across Scientific Disciplines, their Commonalities, Challenges and Research Impact0
High-level Prior-based Loss Functions for Medical Image Segmentation: A Survey0
Open4Business(O4B): An Open Access Dataset for Summarizing Business DocumentsCode1
Author's Sentiment PredictionCode1
A Review of the Family of Artificial Fish Swarm Algorithms: Recent Advances and Applications0
Overview of CAPITEL Shared Tasks at IberLEF 2020: Named Entity Recognition and Universal Dependencies Parsing0
Two-Sided Fairness in Non-Personalised RecommendationsCode0
What's New? Summarizing Contributions in Scientific Literature0
The ApposCorpus: A new multilingual, multi-domain dataset for factual appositive generation0
Fighting an Infodemic: COVID-19 Fake News DatasetCode1
HoVer: A Dataset for Many-Hop Fact Extraction And Claim Verification0
PubSqueezer: A Text-Mining Web Tool to Transform Unstructured Documents into Structured Data0
Semantic and Relational Spaces in Science of Science: Deep Learning Models for Article VectorisationCode0
Extracting Chemical-Protein Interactions via Calibrated Deep Neural Network and Self-training0
Topic-Centric Unsupervised Multi-Document Summarization of Scientific and News Articles0
BioNerFlair: biomedical named entity recognition using flair embedding and sequence taggerCode0
Liputan6: A Large-scale Indonesian Dataset for Text SummarizationCode1
Crime event localization and deduplication0
Information retrieval for animal disease surveillance: a pattern-based approach.0
Is Wikipedia succeeding in reducing gender bias? Assessing changes in gender bias in Wikipedia using word embeddings0
ARTU / TU Wien and Artificial Researcher@ LongSumm 200
Swimming with the Tide? Positional Claim Detection across Political Text Types0
Diachronic Embeddings for People in the News0
Effects of Anonymity on Comment Persuasiveness in Wikipedia Articles for Deletion Discussions0
Mapping Local News Coverage: Precise location extraction in textual news content using fine-tuned BERT based language model0
CiteQA@CLSciSumm 20200
Improved Local Citation Recommendation Based on Context Enhanced with Global InformationCode0
IITP-AI-NLP-ML@ CL-SciSumm 2020, CL-LaySumm 2020, LongSumm 20200
DeepPaperComposer: A Simple Solution for Training Data Preparation for Parsing Research Papers0
IIITBH-IITP@CL-SciSumm20, CL-LaySumm20, LongSumm200
Structured Prediction for Joint Class Cardinality and Entity Property Inference in Model-Complete Text Comprehension0
Representation learning of writing styleCode1
Linguist Geeks on WNUT-2020 Task 2: COVID-19 Informative Tweet Identification using Progressive Trained Language Models and Data Augmentation0
Layout-Aware Text Representations Harm Clustering Documents by Type0
exBERT: Extending Pre-trained Models with Domain-specific Vocabulary Under Constrained Training Resources0
The Pragmatics behind Politics: Modelling Metaphor, Framing and Emotion in Political DiscourseCode0
A Corpus of Very Short Scientific Summaries0
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