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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 9511000 of 4012 papers

TitleStatusHype
MOKA: Moral Knowledge Augmentation for Moral Event ExtractionCode0
Lexical Repetitions Lead to Rote Learning: Unveiling the Impact of Lexical Overlap in Train and Test Reference Summaries0
Disinformation Capabilities of Large Language ModelsCode0
Non-Parametric Memory Guidance for Multi-Document SummarizationCode0
Summarization-Based Document IDs for Generative Retrieval with Language ModelsCode0
PolyIE: A Dataset of Information Extraction from Polymer Material Scientific LiteratureCode1
GreekT5: A Series of Greek Sequence-to-Sequence Models for News SummarizationCode0
Modeling User Viewing Flow Using Large Language Models for Article Recommendation0
Trusted Source Alignment in Large Language Models0
The Pros and Cons of Using Machine Learning and Interpretable Machine Learning Methods in psychiatry detection applications, specifically depression disorder: A Brief Review0
Citation Recommendation on Scholarly Legal ArticlesCode0
BanglaBait: Semi-Supervised Adversarial Approach for Clickbait Detection on Bangla Clickbait DatasetCode0
FAMuS: Frames Across Multiple SourcesCode0
MatNexus: A Comprehensive Text Mining and Analysis Suite for Materials Discover0
ArAIEval Shared Task: Persuasion Techniques and Disinformation Detection in Arabic Text0
UID as a Guiding Metric for Automated Authorship Obfuscation0
BanMANI: A Dataset to Identify Manipulated Social Media News in BanglaCode0
Tell Your Model Where to Attend: Post-hoc Attention Steering for LLMsCode1
Content Significance Distribution of Sub-Text Blocks in Articles and Its Application to Article-Organization Assessment0
Mitigating Framing Bias with Polarity Minimization Loss0
A New Korean Text Classification Benchmark for Recognizing the Political Intents in Online NewspapersCode1
Enhancing search engine precision and user experience through sentiment-based polysemy resolution0
Data Science for Social Good0
Adapting Fake News Detection to the Era of Large Language ModelsCode1
Multi-dimensional data refining strategy for effective fine-tuning LLMs0
The Pros and Cons of Using Machine Learning and Interpretable Machine Learning Methods In Psychiatry Detection Applications, Specifically Depression Disorder: A Brief Review.0
Relation Extraction from News Articles (RENA): A Tool for Epidemic Surveillance0
Integrating curation into scientific publishing to train AI modelsCode0
Human-AI collaboration is not very collaborative yet: A taxonomy of interaction patterns in AI-assisted decision making from a systematic review0
Improving Factual Consistency of Text Summarization by Adversarially Decoupling Comprehension and Embellishment Abilities of LLMs0
Unmasking Bias in AI: A Systematic Review of Bias Detection and Mitigation Strategies in Electronic Health Record-based Models0
There Are No Data Like More Data- Datasets for Deep Learning in Earth Observation0
AMIR: Automated MisInformation Rebuttal -- A COVID-19 Vaccination Datasets based Recommendation System0
Crossing the Aisle: Unveiling Partisan and Counter-Partisan Events in News ReportingCode0
All Things Considered: Detecting Partisan Events from News Media with Cross-Article ComparisonCode0
A Review on the Applications of Machine Learning for Tinnitus Diagnosis Using EEG Signals0
TIMELINE: Exhaustive Annotation of Temporal Relations Supporting the Automatic Ordering of Events in News ArticlesCode0
WSDMS: Debunk Fake News via Weakly Supervised Detection of Misinforming Sentences with Contextualized Social WisdomCode0
The Word2vec Graph Model for Author Attribution and Genre Detection in Literary Analysis0
Detection of news written by the ChatGPT through authorship attribution performed by a Bidirectional LSTM modelCode0
Policy Optimization via Adv2: Adversarial Learning on Advantage Functions0
Multilingual Coarse Political Stance Classification of Media. The Editorial Line of a ChatGPT and Bard Newspaper0
Fighting Fire with Fire: The Dual Role of LLMs in Crafting and Detecting Elusive DisinformationCode0
MuLMS: A Multi-Layer Annotated Text Corpus for Information Extraction in the Materials Science DomainCode0
GeoLM: Empowering Language Models for Geospatially Grounded Language UnderstandingCode1
The evolving of Data Science and the Saudi Arabia case. How much have we changed in 13 years?0
Zero-Knowledge Proof-based Verifiable Decentralized Machine Learning in Communication Network: A Comprehensive Survey0
TeleQnA: A Benchmark Dataset to Assess Large Language Models Telecommunications KnowledgeCode1
TATA: Stance Detection via Topic-Agnostic and Topic-Aware EmbeddingsCode0
Analysing State-Backed Propaganda Websites: a New Dataset and Linguistic StudyCode0
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