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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 10511100 of 4012 papers

TitleStatusHype
Detecting Incongruity Between News Headline and Body Text via a Deep Hierarchical EncoderCode0
Detecting Narrative Elements in Informational TextCode0
Did AI get more negative recently?Code0
Descartes: Generating Short Descriptions of Wikipedia ArticlesCode0
Designing and Evaluating Presentation Strategies for Fact-Checked ContentCode0
Delving into the Utilisation of ChatGPT in Scientific Publications in AstronomyCode0
Delving into Multilingual Ethical Bias: The MSQAD with Statistical Hypothesis Tests for Large Language ModelsCode0
Dependency Learning for Legal Judgment Prediction with a Unified Text-to-Text TransformerCode0
Countering Misinformation via Emotional Response GenerationCode0
Deep Learning with CNNs: A Compact Holistic Tutorial with Focus on Supervised Regression (Preprint)Code0
Discriminating between standard Romanian and Moldavian tweets using filtered character ngramsCode0
Disentangling Multiple Conditional Inputs in GANsCode0
Co-training for Low Resource Scientific Natural Language InferenceCode0
Content based News Recommendation via Shortest Entity Distance over Knowledge GraphsCode0
A Decade of Scholarly Research on Open Knowledge GraphsCode0
DocMMIR: A Framework for Document Multi-modal Information RetrievalCode0
Do LLMs Know to Respect Copyright Notice?Code0
Detecting Toxicity in News Articles: Application to BulgarianCode0
CroCoSum: A Benchmark Dataset for Cross-Lingual Code-Switched SummarizationCode0
Domain-independent Extraction of Scientific Concepts from Research ArticlesCode0
Deep Dirichlet Multinomial RegressionCode0
Decoding MIE: A Novel Dataset Approach Using Topic Extraction and Affiliation ParsingCode0
Deep Feelings: A Massive Cross-Lingual Study on the Relation between Emotions and ViralityCode0
A Comparison of Named Entity Recognition Tools Applied to Biographical TextsCode0
A diverse Multilingual News Headlines Dataset from around the WorldCode0
DragonVerseQA: Open-Domain Long-Form Context-Aware Question-AnsweringCode0
Dreams Are More "Predictable'' Than You ThinkCode0
Crossing the Aisle: Unveiling Partisan and Counter-Partisan Events in News ReportingCode0
A Summarization Dataset of Slovak News ArticlesCode0
DeClarE: Debunking Fake News and False Claims using Evidence-Aware Deep LearningCode0
DC3 -- A Diagnostic Case Challenge Collection for Clinical Decision SupportCode0
EaSyGuide : ESG Issue Identification Framework leveraging Abilities of Generative Large Language ModelsCode0
A Suite of Generative Tasks for Multi-Level Multimodal Webpage UnderstandingCode0
Deciphering Political Entity Sentiment in News with Large Language Models: Zero-Shot and Few-Shot StrategiesCode0
Effective Hierarchical Information Threading Using Network Community DetectionCode0
Data Augmentation for Low-Resource Keyphrase GenerationCode0
Addressing Semantic Drift in Question Generation for Semi-Supervised Question AnsweringCode0
Data-driven Summarization of Scientific ArticlesCode0
Deciphering public attention to geoengineering and climate issues using machine learning and dynamic analysisCode0
EMBEDDIA at SemEval-2022 Task 8: Investigating Sentence, Image, and Knowledge Graph Representations for Multilingual News Article SimilarityCode0
Deep Learning-based approaches for automatic detection of shell nouns and evaluation on WikiText-2Code0
CyberWallE at SemEval-2020 Task 11: An Analysis of Feature Engineering for Ensemble Models for Propaganda DetectionCode0
A Stylometric Inquiry into Hyperpartisan and Fake NewsCode0
Crowdsourcing StoryLines: Harnessing the Crowd for Causal Relation AnnotationCode0
D3: A Massive Dataset of Scholarly Metadata for Analyzing the State of Computer Science ResearchCode0
CrudeOilNews: An Annotated Crude Oil News Corpus for Event ExtractionCode0
CORE-GPT: Combining Open Access research and large language models for credible, trustworthy question answeringCode0
A Method for Detecting Legal Article Competition for Korean Criminal Law Using a Case-augmented Mention GraphCode0
CsFEVER and CTKFacts: Acquiring Czech data for fact verificationCode0
CXMArena: Unified Dataset to benchmark performance in realistic CXM ScenariosCode0
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