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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 29513000 of 4012 papers

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Image-based table recognition: data, model, and evaluationCode1
An Empirical Study of Sections in Classifying Disease Outbreak Reports0
Predicting overweight and obesity in later life from childhood data: A review of predictive modeling approaches0
On the Vietnamese Name Entity Recognition: A Deep Learning Method Approach0
A Subword Level Language Model for Bangla Language0
Text classification with pixel embedding0
Leveraging Dependency Forest for Neural Medical Relation ExtractionCode0
The State of NLP Literature: A Diachronic Analysis of the ACL Anthology0
Reducing Sentiment Bias in Language Models via Counterfactual Evaluation0
Predicting Indian stock market using the psycho-linguistic features of financial news0
Controlling Text Complexity in Neural Machine TranslationCode0
GRAPHENE: A Precise Biomedical Literature Retrieval Engine with Graph Augmented Deep Learning and External Knowledge Empowerment0
Detecting Frames in News Headlines and Its Application to Analyzing News Framing Trends Surrounding U.S. Gun Violence0
Set to Ordered Text: Generating Discharge Instructions from Medical Billing Codes0
Keeping Consistency of Sentence Generation and Document Classification with Multi-Task Learning0
Subtopic-driven Multi-Document Summarization0
Fine-Grained Analysis of Propaganda in News Article0
Visual Detection with Context for Document Layout Analysis0
Comparing and Developing Tools to Measure the Readability of Domain-Specific Texts0
Event Causality Recognition Exploiting Multiple Annotators' Judgments and Background Knowledge0
Low-Rank Approximations of Second-Order Document Representations0
``A Buster Keaton of Linguistics'': First Automated Approaches for the Extraction of Vossian Antonomasia0
Cross-Domain Modeling of Sentence-Level Evidence for Document Retrieval0
Weakly Supervised Multilingual Causality Extraction from Wikipedia0
On the Unintended Social Bias of Training Language Generation Models with Data from Local Media0
GEM: Generative Enhanced Model for adversarial attacks0
Fine-Grained Propaganda Detection with Fine-Tuned BERT0
Divisive Language and Propaganda Detection using Multi-head Attention Transformers with Deep Learning BERT-based Language Models for Binary Classification0
Coreference Resolution in Full Text Articles with BERT and Syntax-based Mention Filtering0
CRAFT Shared Tasks 2019 Overview --- Integrated Structure, Semantics, and Coreference0
Sentence-Level Propaganda Detection in News Articles with Transfer Learning and BERT-BiLSTM-Capsule Model0
Team GPLSI. Approach for automated fact checking0
NSIT@NLP4IF-2019: Propaganda Detection from News Articles using Transfer Learning0
Modelling Uncertainty in Collaborative Document Quality Assessment0
Predicting the Politics of an Image Using Webly Supervised DataCode0
Which Factors Impact Engagement on News Articles on Facebook?0
Graph Neural News Recommendation with Long-term and Short-term Interest Modeling0
TreeCaps: Tree-Structured Capsule Networks for Program Source Code Processing0
Do Sentence Interactions Matter? Leveraging Sentence Level Representations for Fake News ClassificationCode0
Disinformation Detection: A review of linguistic feature selection and classification models in news veracity assessments0
KRED: Knowledge-Aware Document Representation for News RecommendationsCode0
Clinical Concept Extraction: a Methodology Review0
Comparison of Quality Indicators in User-generated Content Using Social Media and Scholarly Text0
A context sensitive real-time Spell Checker with language adaptabilityCode2
Trouble with the Curve: Predicting Future MLB Players Using Scouting ReportsCode0
Localization of Fake News Detection via Multitask Transfer LearningCode0
Keyphrase Extraction from Scholarly Articles as Sequence Labeling using Contextualized Embeddings0
How Coupled are Mass Spectrometry and Capillary Electrophoresis?0
MLQA: Evaluating Cross-lingual Extractive Question AnsweringCode1
NLPExplorer: Exploring the Universe of NLP Papers0
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