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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 201250 of 4012 papers

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How Much Do LLMs Hallucinate across Languages? On Multilingual Estimation of LLM Hallucination in the WildCode0
A Survey of Text Classification Under Class Distribution ShiftCode0
Innamark: A Whitespace Replacement Information-Hiding Method0
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VLDBench: Vision Language Models Disinformation Detection BenchmarkCode0
RA-MTR: A Retrieval Augmented Multi-Task Reader based Approach for Inspirational Quote Extraction from Long DocumentsCode0
Automatic target validation based on neuroscientific literature mining for tractography0
REVERSUM: A Multi-staged Retrieval-Augmented Generation Method to Enhance Wikipedia Tail Biographies through Personal NarrativesCode0
Southern Newswire Corpus: A Large-Scale Dataset of Mid-Century Wire Articles Beyond the Front Page0
FinMTEB: Finance Massive Text Embedding BenchmarkCode2
ANCHOLIK-NER: A Benchmark Dataset for Bangla Regional Named Entity Recognition0
Large Language Models and Provenance Metadata for Determining the Relevance of Images and Videos in News Stories0
Thinking beyond the anthropomorphic paradigm benefits LLM research0
Matina: A Large-Scale 73B Token Persian Text Corpus0
Tuning-Free Personalized Alignment via Trial-Error-Explain In-Context Learning0
Adapting Multilingual Embedding Models to Historical Luxembourgish0
ETimeline: An Extensive Timeline Generation Dataset based on Large Language Model0
FoQA: A Faroese Question-Answering Dataset0
Learning-based estimation of cattle weight gain and its influencing factors0
KARMA: Leveraging Multi-Agent LLMs for Automated Knowledge Graph EnrichmentCode2
Concept Navigation and Classification via Open-Source Large Language Model Processing0
From Bedside to Desktop: A Data Protocol for Normative Intracranial EEG and Abnormality Mapping0
FinBloom: Knowledge Grounding Large Language Model with Real-time Financial Data0
Do Large Multimodal Models Solve Caption Generation for Scientific Figures? Lessons Learned from SCICAP Challenge 20230
JRE-L: Journalist, Reader, and Editor LLMs in the Loop for Science Journalism for the General AudienceCode0
ConceptCLIP: Towards Trustworthy Medical AI via Concept-Enhanced Contrastive Langauge-Image Pre-trainingCode1
People who frequently use ChatGPT for writing tasks are accurate and robust detectors of AI-generated textCode1
Scaling Large Vision-Language Models for Enhanced Multimodal Comprehension In Biomedical Image Analysis0
Multimodal Stock Price Prediction0
YOLOv8 to YOLO11: A Comprehensive Architecture In-depth Comparative Review0
On the reproducibility of discrete-event simulation studies in health research: an empirical study using open models0
Exploring Wikipedia Gender Diversity Over Time x2013 The Wikipedia Gender Dashboard (WGD)0
RACCOON: A Retrieval-Augmented Generation Approach for Location Coordinate Capture from News ArticlesCode0
Revisiting Language Models in Neural News Recommender SystemsCode0
Verifying Cross-modal Entity Consistency in News using Vision-language ModelsCode0
An Ontology for Social Determinants of Education (SDoEd) based on Human-AI Collaborative Approach0
Contributions to the Decision Theoretic Foundations of Machine Learning and Robust Statistics under Weakly Structured Information0
OmniThink: Expanding Knowledge Boundaries in Machine Writing through ThinkingCode3
From Scarcity to Capability: Empowering Fake News Detection in Low-Resource Languages with LLMsCode0
Large Language Models For Text Classification: Case Study And Comprehensive Review0
Social and Genetic Ties Drive Skewed Cross-Border Media Coverage of Disasters0
Benchmarking Abstractive Summarisation: A Dataset of Human-authored Summaries of Norwegian News Articles0
Digital Operating Mode Classification of Real-World Amateur Radio Transmissions0
BIOMEDICA: An Open Biomedical Image-Caption Archive, Dataset, and Vision-Language Models Derived from Scientific LiteratureCode2
Analyzing the Role of Context in Forecasting with Large Language Models0
Navigating Tomorrow: Reliably Assessing Large Language Models Performance on Future Event Prediction0
Leveraging Large Language Models for Zero-shot Lay Summarisation in Biomedicine and Beyond0
A New Perspective on Privacy Protection in Federated Learning with Granular-Ball ComputingCode0
S2 Chunking: A Hybrid Framework for Document Segmentation Through Integrated Spatial and Semantic AnalysisCode1
Implicit Guidance and Explicit Representation of Semantic Information in Points Cloud: A SurveyCode1
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