100+ datasets found
  1. Grocery shopping: U.S. consumers' weekly trips per household 2006-2025

    • statista.com
    Updated Jun 24, 2025
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    Statista (2025). Grocery shopping: U.S. consumers' weekly trips per household 2006-2025 [Dataset]. https://www.statista.com/statistics/251728/weekly-number-of-us-grocery-shopping-trips-per-household/
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    Dataset updated
    Jun 24, 2025
    Dataset authored and provided by
    Statistahttp://statista.com/
    Area covered
    United States
    Description

    The primary grocery shopper in U.S. households made an average of *** shopping trips per week in 2025. The importance of fresh products in consumers’ diets, along with buying habits, keep shoppers returning to stores to restock their shelves and fridges. Despite the increasing competition from online grocery retailers, grocery shopping in a physical store is still important to Americans. Online influences Within the U.S., consumers have a number of choices when it comes to how they choose to do their weekly or bi-weekly food shop. Whilst most Americans still choose to visit brick-and-mortar stores, online grocery shopping is becoming undoubtedly more popular. To keep up with such trends, some grocery stores offer click and collect or grocery delivery service. This reduces the number of in-store visits consumers make when buying groceries. Generational preferences Online shopping comes as second nature to younger consumers. Therefore, it is no surprise that Millennials account for the highest spending share of digital grocery orders and delivery services in the United States.. Generation X are not far behind Millennials when it comes to share of spending. This is an important demographic for online grocery retailers to target, as Generation X are the generation spending the most on average on groceries per month.

  2. U.S. online grocery sales 2019-2024

    • statista.com
    Updated Jun 23, 2025
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    Statista (2025). U.S. online grocery sales 2019-2024 [Dataset]. https://www.statista.com/statistics/293707/us-online-grocery-sales/
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    Dataset updated
    Jun 23, 2025
    Dataset authored and provided by
    Statistahttp://statista.com/
    Time period covered
    Mar 2021
    Area covered
    United States
    Description

    This statistic highlights online grocery shopping sales in the United States from 2019 through 2024. The U.S. online grocery market was estimated to generate sales worth of about **** billion U.S. dollars in 2020, with sales forecast to reach ***** billion U.S. dollars by 2024. Among the leading online food and beverage retailers in 2016, were Amazon and Walmart. Online grocery shoppingGrocery sales through online platforms represent a very small part of the overall grocery retail market, but are amongst the fastest growing segment. Some people don’t enjoy the hassle of traditional grocery shopping, especially to stand in a queue before check-out. If consumers use the convenience of an online grocery service, they can pick their everyday products on the distributor’s website and will get the chosen items delivered right to their doorstep, which saves time. Most online suppliers in the United States provide same-day delivery options. During the last years, more and more firms tried to gain a foothold within the e-grocery industry. Companies engaged in the U.S. online grocery market include AmazonFresh, FreshDirect, NetGrocer, Walmart and Safeway. A relatively new and innovative business model is supplied by Instacart. The San Francisco-based company is a grocery transport service that delivers the grocery order through personal shoppers in *** to *** hours. As of February 2015, Instacart charged **** U.S. dollars per two-hour deliveries and ***** U.S. dollars per one-hour deliveries. The personal shoppers purchase the chosen items at different local food stores and deliver them to your house within the agreed time window. The use of virtual grocery stores has still a large growth potential as more and more time-strapped consumers are looking for innovative ways to make their lives easier. However, a significant hurdle for online grocers remains freshness as many customers still prefer to see and touch the produce before purchase.

  3. Grocery Prices Data: Explore Shopping Trends

    • kaggle.com
    Updated Apr 14, 2024
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    aryan verma (2024). Grocery Prices Data: Explore Shopping Trends [Dataset]. https://www.kaggle.com/datasets/aryanverma99/grocery-prices-data-explore-shopping-trends
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    CroissantCroissant is a format for machine-learning datasets. Learn more about this at mlcommons.org/croissant.
    Dataset updated
    Apr 14, 2024
    Dataset provided by
    Kagglehttp://kaggle.com/
    Authors
    aryan verma
    License

    https://creativecommons.org/publicdomain/zero/1.0/https://creativecommons.org/publicdomain/zero/1.0/

    Description

    Explore this rich dataset capturing daily prices of grocery essentials. From fresh produce to pantry staples, delve into the fluctuations of everyday items to uncover valuable insights for data scientists and analysts. Whether you're tracking market trends or optimizing shopping strategies, this dataset offers a treasure trove of information for informed decision-making.

    Here's a short description for each column in your dataset:

    Product Name: The name or description of the grocery item.

    Category: The category to which the product belongs (e.g., fruits, vegetables, dairy, etc.)

    Quantity: The quantity or amount of the product purchased.

    Original Price (Rs.): The original price of the product before any discounts, in Indian Rupees.

    Discount: The discount offered on the product, usually represented as a percentage.

    Discounted Price (Rs.): The price of the product after applying the discount, in Indian Rupees.

  4. d

    Retail Food Stores

    • catalog.data.gov
    • data.buffalony.gov
    • +4more
    Updated Sep 13, 2024
    + more versions
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    data.ny.gov (2024). Retail Food Stores [Dataset]. https://catalog.data.gov/dataset/retail-food-stores
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    Dataset updated
    Sep 13, 2024
    Dataset provided by
    data.ny.gov
    Description

    A listing of all retail food stores which are licensed by the Department of Agriculture and Markets.

  5. Grocery shopping responsibility share in the United States by gender 2023

    • statista.com
    Updated Apr 1, 2025
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    Statista (2025). Grocery shopping responsibility share in the United States by gender 2023 [Dataset]. https://www.statista.com/statistics/817500/grocery-shopping-responsibility-share-us-by-gender/
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    Dataset updated
    Apr 1, 2025
    Dataset authored and provided by
    Statistahttp://statista.com/
    Time period covered
    Feb 1, 2023 - Feb 14, 2023
    Area covered
    United States
    Description

    In a 2023 survey of U.S. shoppers, 68 percent of respondents who identified themselves as primary shoppers in their household were women, while 56 percent were men. For those who identified themselves as self shoppers, that is, people who live alone and are responsible for their own spending, 15 percent were men and 13 percent were women.

  6. F

    Retail Sales: Supermarkets and Other Grocery (Except Convenience) Stores

    • fred.stlouisfed.org
    json
    Updated Aug 15, 2025
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    (2025). Retail Sales: Supermarkets and Other Grocery (Except Convenience) Stores [Dataset]. https://fred.stlouisfed.org/series/MRTSSM44511USN
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    jsonAvailable download formats
    Dataset updated
    Aug 15, 2025
    License

    https://fred.stlouisfed.org/legal/#copyright-public-domainhttps://fred.stlouisfed.org/legal/#copyright-public-domain

    Description

    Graph and download economic data for Retail Sales: Supermarkets and Other Grocery (Except Convenience) Stores (MRTSSM44511USN) from Jan 2001 to Jun 2025 about groceries, retail trade, sales, retail, and USA.

  7. c

    Grocery Store Dataset

    • cubig.ai
    Updated May 28, 2025
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    CUBIG (2025). Grocery Store Dataset [Dataset]. https://cubig.ai/store/products/367/grocery-store-dataset
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    Dataset updated
    May 28, 2025
    Dataset authored and provided by
    CUBIG
    License

    https://cubig.ai/store/terms-of-servicehttps://cubig.ai/store/terms-of-service

    Measurement technique
    Privacy-preserving data transformation via differential privacy, Synthetic data generation using AI techniques for model training
    Description

    1) Data Introduction • The Grocery Store Dataset is a tabulated retail dataset of detailed information, including detailed classifications, prices, discounts, ratings, product names, currencies, key features, and detailed descriptions of groceries collected from the Costco online market.

    2) Data Utilization (1) Grocery Store Dataset has characteristics that: • Each row contains a variety of attributes needed for grocery analysis, including detailed categories of products, prices, applied discounts, customer ratings, product names, currencies, key features, and detailed descriptions. • The data encompasses a wide range of products and is organized to enable multi-faceted analysis of price policies, promotions, customer evaluations, and product characteristics. (2) Grocery Store Dataset can be used to: • Analysis of pricing and discount strategies: Use price, discount, and rating data to create effective pricing policies and promotion strategies. • Product recommendations and popularity analysis by category: Based on product characteristics, ratings, and detailed descriptions, it can be applied to recommend customized products and derive popular products by category.

  8. d

    Grocery Store Locations

    • catalog.data.gov
    • opendata.dc.gov
    • +3more
    Updated Jul 30, 2025
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    Office of the Chief Technology Officer (2025). Grocery Store Locations [Dataset]. https://catalog.data.gov/dataset/grocery-store-locations
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    Dataset updated
    Jul 30, 2025
    Dataset provided by
    Office of the Chief Technology Officer
    Description

    This dataset was originally created in 2012 by the Office of the Chief Technology Officer. OCTO staff used the Alcoholic Beverage and Cannabis Administration’s (ABCA) definition of Full-Service Grocery Stores which outlines criteria for a business to obtain licenses to sell beer, wine, and spirits. Visit abca.dc.gov for full definition.OCTO staff then reviewed the Office of Planning DC Food Policy’s 2018 Food System Assessment listing grocery stores in Appendix D, and comparing these to the ABCA definition. This led to additional locations that meet, or come very close to, the full-service grocery store criteria. The criteria in section one of ABCA’s full-service grocery store determined the initial locations included in this dataset. View the full assessment at dcfoodpolicycouncil.org.Since the initial creation of this dataset, OCTO and the Deputy Mayor for Planning and Economic Development (DMPED) staff confirm grocery store operations by comparing datasets from DLCP, media outlets, commercially licensed datasets, and onsite visits.Please review supplemental metadata for more details.

  9. Frequency of grocery shopping by generation in the United States in 2024

    • statista.com
    Updated Jun 24, 2025
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    Statista (2025). Frequency of grocery shopping by generation in the United States in 2024 [Dataset]. https://www.statista.com/statistics/1457637/grocery-shopping-frequency-by-age-us/
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    Dataset updated
    Jun 24, 2025
    Dataset authored and provided by
    Statistahttp://statista.com/
    Time period covered
    Sep 20, 2024 - Sep 30, 2024
    Area covered
    United States
    Description

    According to a survey carried out in 2024 in the United States, some ** percent of baby boomers were shopping for groceries once a week. Among millennials, the share of those shopping weekly for groceries was lower, at ** percent. On the other hand, ** percent of millennials were shopping for groceries daily, while baby boomers were only ******percent. Find this and more survey data in our Consumer Insights tool. Filter by countless demographics, drill down to your own, hand-tailored target audience, and compare results across countries worldwide.

  10. Supermarkets & Grocery Stores in the US

    • ibisworld.com
    Updated Mar 15, 2025
    + more versions
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    IBISWorld (2025). Supermarkets & Grocery Stores in the US [Dataset]. https://www.ibisworld.com/industry-statistics/market-size/supermarkets-grocery-stores-united-states/
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    Dataset updated
    Mar 15, 2025
    Dataset authored and provided by
    IBISWorld
    License

    https://www.ibisworld.com/about/termsofuse/https://www.ibisworld.com/about/termsofuse/

    Time period covered
    2002 - 2031
    Area covered
    United States
    Description

    Market Size statistics on the Supermarkets & Grocery Stores industry in the US

  11. y

    US Grocery Store Sales

    • ycharts.com
    html
    Updated Sep 16, 2025
    + more versions
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    Census Bureau (2025). US Grocery Store Sales [Dataset]. https://ycharts.com/indicators/us_grocery_store_sales
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    htmlAvailable download formats
    Dataset updated
    Sep 16, 2025
    Dataset provided by
    YCharts
    Authors
    Census Bureau
    License

    https://www.ycharts.com/termshttps://www.ycharts.com/terms

    Time period covered
    Jan 31, 1992 - Aug 31, 2025
    Area covered
    United States
    Variables measured
    US Grocery Store Sales
    Description

    View monthly updates and historical trends for US Grocery Store Sales. from United States. Source: Census Bureau. Track economic data with YCharts analyti…

  12. F

    Producer Price Index by Industry: Supermarkets and Other Grocery Stores:...

    • fred.stlouisfed.org
    json
    Updated Sep 10, 2025
    + more versions
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    (2025). Producer Price Index by Industry: Supermarkets and Other Grocery Stores: Supermarket and Other Grocery Store Services [Dataset]. https://fred.stlouisfed.org/series/PCU4451104451103
    Explore at:
    jsonAvailable download formats
    Dataset updated
    Sep 10, 2025
    License

    https://fred.stlouisfed.org/legal/#copyright-public-domainhttps://fred.stlouisfed.org/legal/#copyright-public-domain

    Description

    Graph and download economic data for Producer Price Index by Industry: Supermarkets and Other Grocery Stores: Supermarket and Other Grocery Store Services (PCU4451104451103) from Dec 1999 to Aug 2025 about groceries, services, PPI, industry, inflation, price index, indexes, price, and USA.

  13. Frequency of grocery shopping in the United States in 2025

    • statista.com
    Updated Jul 2, 2025
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    Statista (2025). Frequency of grocery shopping in the United States in 2025 [Dataset]. https://www.statista.com/statistics/1456478/grocery-shopping-frequency-us/
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    Dataset updated
    Jul 2, 2025
    Dataset authored and provided by
    Statistahttp://statista.com/
    Time period covered
    Mar 2025
    Area covered
    United States
    Description

    According to a survey carried out in March 2025 in the United States, some ** percent of respondents were shopping for groceries once a week. Another ** percent were doing so two to three times a week, while only **** percent shopped for groceries more often than that.

  14. Grocery Sales Prediction

    • kaggle.com
    Updated Apr 5, 2024
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    sushant chougule (2024). Grocery Sales Prediction [Dataset]. https://www.kaggle.com/datasets/sushantchougule/kolkata-shops-sales
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    CroissantCroissant is a format for machine-learning datasets. Learn more about this at mlcommons.org/croissant.
    Dataset updated
    Apr 5, 2024
    Dataset provided by
    Kaggle
    Authors
    sushant chougule
    License

    Apache License, v2.0https://www.apache.org/licenses/LICENSE-2.0
    License information was derived automatically

    Description

    Grocery Sales Prediction

    This dataset provides a rich resource for researchers and practitioners interested in retail sales prediction and analysis. It contains information about various grocery products, the outlets where they are sold, and their historical sales data.

    Product Characteristics:

    Item_Identifier: Unique identifier for each product. Item_Weight: Weight of the product item. Item_Fat_Content: Categorical variable indicating the fat content of the product (e.g., low fat, regular). Item_Visibility: Numerical attribute reflecting the visibility of the product in the store (likely a promotional measure). Item_Type: Category of the product (e.g., Snacks, Beverages, Bakery). Item_MRP: Maximum Retail Price of the product. Outlet Information:

    Outlet_Identifier: Unique identifier for each outlet (store). Outlet_Establishment_Year: Year the outlet was established. Outlet_Size: Categorical variable indicating the size of the outlet (e.g., Small, Medium, Large). (Note: This data may have missing values) Outlet_Location_Type: Categorical variable indicating the type of location the outlet is in (e.g., Tier 1 City, Tier 2 City, Upstate). Outlet_Type: Categorical variable indicating the type of outlet (e.g., Supermarket, Grocery Store, Convenience Store). Sales Data:

    Item_Outlet_Sales: The historical sales data for each product-outlet combination. Profit: The profit margin earned on each product sold. Potential Uses

    This dataset can be used for various retail sales analysis and prediction tasks, including:

    Demand forecasting: Build models to predict future sales of individual products or product categories at specific outlets. Promotion optimization: Analyze the effectiveness of different promotional strategies (reflected by Item_Visibility) on sales. Assortment planning: Optimize product selection and placement within stores based on sales history and outlet characteristics. Outlet performance analysis: Compare the performance of different outlets based on sales figures and profit margins. Customer segmentation: Identify customer segments with distinct purchasing behavior based on product types and outlet locations. By analyzing these rich data points, retailers can gain valuable insights to improve their sales strategies, optimize inventory management, and maximize profits.

  15. Retail Supermarket

    • kaggle.com
    Updated Nov 1, 2022
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    Roopa Calistus (2022). Retail Supermarket [Dataset]. https://www.kaggle.com/datasets/roopacalistus/superstore
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    CroissantCroissant is a format for machine-learning datasets. Learn more about this at mlcommons.org/croissant.
    Dataset updated
    Nov 1, 2022
    Dataset provided by
    Kagglehttp://kaggle.com/
    Authors
    Roopa Calistus
    License

    http://www.gnu.org/licenses/lgpl-3.0.htmlhttp://www.gnu.org/licenses/lgpl-3.0.html

    Description

    The dataset contains sales details of different stores of a supermarket chain that has multiple stores in different parts of the US. With columns such as: - Ship Mode - Segment - Country - City - State - Postal code - Region - Category - Sub-category - Sales - Quantity - Discount - Profit

  16. F

    Employment for Retail Trade: Supermarkets and Other Grocery (Except...

    • fred.stlouisfed.org
    json
    Updated Apr 24, 2025
    + more versions
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    (2025). Employment for Retail Trade: Supermarkets and Other Grocery (Except Convenience) Stores (NAICS 445110) in the United States [Dataset]. https://fred.stlouisfed.org/series/IPUHN445110W010000000
    Explore at:
    jsonAvailable download formats
    Dataset updated
    Apr 24, 2025
    License

    https://fred.stlouisfed.org/legal/#copyright-public-domainhttps://fred.stlouisfed.org/legal/#copyright-public-domain

    Area covered
    United States
    Description

    Graph and download economic data for Employment for Retail Trade: Supermarkets and Other Grocery (Except Convenience) Stores (NAICS 445110) in the United States (IPUHN445110W010000000) from 1987 to 2024 about groceries, NAICS, retail trade, sales, retail, employment, and USA.

  17. India Grocery Market Analysis, Size, and Forecast 2025-2029

    • technavio.com
    pdf
    Updated May 23, 2025
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    Technavio (2025). India Grocery Market Analysis, Size, and Forecast 2025-2029 [Dataset]. https://www.technavio.com/report/grocery-market-in-india-industry-analysis
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    pdfAvailable download formats
    Dataset updated
    May 23, 2025
    Dataset provided by
    TechNavio
    Authors
    Technavio
    License

    https://www.technavio.com/content/privacy-noticehttps://www.technavio.com/content/privacy-notice

    Time period covered
    2025 - 2029
    Area covered
    India
    Description

    Snapshot img

    India Grocery Market Size 2025-2029

    The india grocery market size is valued to increase by USD 352.8 billion, at a CAGR of 8.5% from 2024 to 2029. Rapid growth in m-commerce will drive the india grocery market.

    Major Market Trends & Insights

    By Platform - Offline segment was valued at USD 433.40 billion in 2022
    By Product - Food grains segment accounted for the largest market revenue share in 2022
    CAGR from 2024 to 2029 : 8.5%
    

    Market Summary

    The Indian grocery market is characterized by its dynamic nature and increasing complexity, driven by shifting consumer preferences and technological advancements. The sector's growth is fueled by the expanding middle class, urbanization, and the rise of e-commerce platforms. Functional foods and beverages, catering to health-conscious consumers, are gaining significant traction. Despite the convenience and time-saving benefits of online grocery shopping, end-users exhibit mixed perceptions. Some appreciate the ease and selection offered, while others express concerns over quality, trust, and logistical challenges. As a result, traditional brick-and-mortar stores continue to dominate the market, but e-commerce players are making inroads through strategic partnerships and innovative offerings. Innovative technologies like artificial intelligence, machine learning, and automation are being employed to streamline operations, enhance customer experience, and improve supply chain efficiency. The sector's future direction lies in seamless omnichannel experiences, personalized offerings, and a focus on sustainability and ethical sourcing. The Indian grocery market is poised for continued evolution, presenting both opportunities and challenges for businesses.

    What will be the Size of the India Grocery Market during the forecast period?

    Get Key Insights on Market Forecast (PDF) Request Free Sample

    How is the Grocery in India Market Segmented ?

    The grocery in india industry research report provides comprehensive data (region-wise segment analysis), with forecasts and estimates in 'USD billion' for the period 2025-2029, as well as historical data from 2019-2023 for the following segments. PlatformOfflineOnlineProductFood grainsBread bakery and dairy productsFruits and vegetablesPersonal careOthersMethodOnline paymentsCash on deliveryGeographyAPACIndia

    By Platform Insights

    The offline segment is estimated to witness significant growth during the forecast period.

    In India's dynamic grocery market, the organized retail sector, including supermarkets and hypermarkets, is experiencing significant growth. These distribution channels, which accommodate vast shelf spaces and storage areas, cater to consumers' increasing preference for a diverse range of grocery products and trusted brands. Supermarkets and hypermarkets, with their one-stop shopping experience, offer consumers the convenience of accessing various product categories under a single roof, a luxury not typically available in small shops. Moreover, these retailers employ various strategies to boost sales, such as discounts, loyalty programs, and promotional offers. As of 2021, organized retail accounts for approximately 22% of the overall the market, and this number is expected to rise as consumers continue to embrace the benefits of modern retail technology solutions, such as online grocery delivery, data analytics dashboards, and pricing strategies software. Additionally, retailers are focusing on improving supply chain visibility, cold chain logistics, and warehouse management systems to reduce food waste and ensure food safety regulations are met. The integration of retail analytics software, product traceability systems, and sustainable packaging practices further enhances the shopping experience while promoting efficiency and transparency.

    Request Free Sample

    The Offline segment was valued at USD 433.40 billion in 2019 and showed a gradual increase during the forecast period.

    Market Dynamics

    Our researchers analyzed the data with 2024 as the base year, along with the key drivers, trends, and challenges. A holistic analysis of drivers will help companies refine their marketing strategies to gain a competitive advantage.

    The Indian grocery market is witnessing significant transformation as technology, data analytics, and sustainable practices reshape the industry landscape. With the impact of technology on grocery retail gaining momentum, Indian retailers are embracing digital solutions to enhance efficiency and customer experience. One such area of focus is the role of data analytics in grocery retail, which is enabling retailers to gain valuable insights into consumer behavior and optimize their operations. In the realm of perishable goods, efficient cold chain solutions are essential to maintain product quality and reduce wastage. Improving grocery supply chain visibility and optimizing las

  18. p

    Grocery stores Business Data for United States

    • poidata.io
    csv, json
    Updated Aug 26, 2025
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    Business Data Provider (2025). Grocery stores Business Data for United States [Dataset]. https://www.poidata.io/report/grocery-store/united-states
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    csv, jsonAvailable download formats
    Dataset updated
    Aug 26, 2025
    Dataset authored and provided by
    Business Data Provider
    License

    Attribution 4.0 (CC BY 4.0)https://creativecommons.org/licenses/by/4.0/
    License information was derived automatically

    Time period covered
    2025
    Area covered
    United States
    Variables measured
    Website URL, Phone Number, Review Count, Business Name, Email Address, Business Hours, Customer Rating, Business Address, Business Categories, Geographic Coordinates
    Description

    Comprehensive dataset containing 142,198 verified Grocery store businesses in United States with complete contact information, ratings, reviews, and location data.

  19. d

    Grocery Store Status - Historical

    • catalog.data.gov
    • data.cityofchicago.org
    Updated Jun 14, 2025
    + more versions
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    data.cityofchicago.org (2025). Grocery Store Status - Historical [Dataset]. https://catalog.data.gov/dataset/grocery-store-status
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    Dataset updated
    Jun 14, 2025
    Dataset provided by
    data.cityofchicago.org
    Description

    This dataset is no longer being updated but is being kept for historical reference. A list of grocery stores in Chicago and last known status (open or closed). This dataset will be updated approximately weekly, or as needed.

  20. d

    Nearby Cook County Grocery Store Chains

    • catalog.data.gov
    • data.cityofchicago.org
    • +3more
    Updated Dec 2, 2023
    + more versions
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    data.cityofchicago.org (2023). Nearby Cook County Grocery Store Chains [Dataset]. https://catalog.data.gov/dataset/nearby-cook-county-grocery-store-chains
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    Dataset updated
    Dec 2, 2023
    Dataset provided by
    data.cityofchicago.org
    Area covered
    Cook County
    Description

    A list of grocery stores which are part of a multi-store chain and are located at or within 1 mile of Chicago's city limits. In addition, this dataset contains additional information about the size and type of food offered by the grocery store. This dataset was provided to the City of Chicago by Chicago State University.

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Statista (2025). Grocery shopping: U.S. consumers' weekly trips per household 2006-2025 [Dataset]. https://www.statista.com/statistics/251728/weekly-number-of-us-grocery-shopping-trips-per-household/
Organization logo

Grocery shopping: U.S. consumers' weekly trips per household 2006-2025

Explore at:
25 scholarly articles cite this dataset (View in Google Scholar)
Dataset updated
Jun 24, 2025
Dataset authored and provided by
Statistahttp://statista.com/
Area covered
United States
Description

The primary grocery shopper in U.S. households made an average of *** shopping trips per week in 2025. The importance of fresh products in consumers’ diets, along with buying habits, keep shoppers returning to stores to restock their shelves and fridges. Despite the increasing competition from online grocery retailers, grocery shopping in a physical store is still important to Americans. Online influences Within the U.S., consumers have a number of choices when it comes to how they choose to do their weekly or bi-weekly food shop. Whilst most Americans still choose to visit brick-and-mortar stores, online grocery shopping is becoming undoubtedly more popular. To keep up with such trends, some grocery stores offer click and collect or grocery delivery service. This reduces the number of in-store visits consumers make when buying groceries. Generational preferences Online shopping comes as second nature to younger consumers. Therefore, it is no surprise that Millennials account for the highest spending share of digital grocery orders and delivery services in the United States.. Generation X are not far behind Millennials when it comes to share of spending. This is an important demographic for online grocery retailers to target, as Generation X are the generation spending the most on average on groceries per month.

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