https://creativecommons.org/publicdomain/zero/1.0/https://creativecommons.org/publicdomain/zero/1.0/
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.
https://fred.stlouisfed.org/legal/#copyright-public-domainhttps://fred.stlouisfed.org/legal/#copyright-public-domain
Graph and download economic data for Producer Price Index by Industry: Grocery Retailers (PCU44514451) from Dec 2003 to Jul 2025 about groceries, PPI, industry, inflation, price index, indexes, price, and USA.
https://cubig.ai/store/terms-of-servicehttps://cubig.ai/store/terms-of-service
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.
Attribution 4.0 (CC BY 4.0)https://creativecommons.org/licenses/by/4.0/
License information was derived automatically
United States - Producer Price Index by Industry: Supermarkets and Other Grocery Stores: Supermarket and Other Grocery Store Services was 282.59500 Index Dec 1999=100 in July of 2025, according to the United States Federal Reserve. Historically, United States - Producer Price Index by Industry: Supermarkets and Other Grocery Stores: Supermarket and Other Grocery Store Services reached a record high of 290.16800 in February of 2025 and a record low of 100.00000 in December of 1999. Trading Economics provides the current actual value, an historical data chart and related indicators for United States - Producer Price Index by Industry: Supermarkets and Other Grocery Stores: Supermarket and Other Grocery Store Services - last updated from the United States Federal Reserve on August of 2025.
According to a survey conducted monthly between April 2022, and March 2023, due to rising prices, some U.S. consumers have decided to reduce their grocery spending. On October 23, 41 percent of respondents said they had repeatedly held back from buying something at the grocery store, while 21 percent said they had not. On April 3, and May 1, of 2022, 30 percent stated reducing their grocery spending many times.
https://crawlfeeds.com/privacy_policyhttps://crawlfeeds.com/privacy_policy
Discover our comprehensive dataset of groceries and essentials from Kroger, featuring detailed information on a wide range of products available at this major retailer.
The dataset includes product names, categories, descriptions, prices, and availability, providing a thorough view of Kroger’s grocery and essential offerings.
Ideal for market analysis, inventory management, and competitive research, this dataset enables businesses and analysts to track pricing trends, monitor stock levels, and understand consumer preferences.
Gain valuable insights into the grocery retail sector with this extensive collection of Kroger product data.
Kroger groceries and essentials data is extracted by using crawl feeds team in-house tools. Last extracted on Nov 2022.
https://fred.stlouisfed.org/legal/#copyright-public-domainhttps://fred.stlouisfed.org/legal/#copyright-public-domain
Graph and download economic data for Producer Price Index by Industry: Supermarkets and Other Grocery Stores: Primary Services (PCU445110445110P) from Dec 1999 to Jul 2025 about groceries, primary, services, PPI, industry, inflation, price index, indexes, price, and USA.
Attribution 4.0 (CC BY 4.0)https://creativecommons.org/licenses/by/4.0/
License information was derived automatically
United States - Producer Price Index by Industry: Supermarkets and Other Grocery Stores was 285.44800 Index Dec 1999=100 in July of 2025, according to the United States Federal Reserve. Historically, United States - Producer Price Index by Industry: Supermarkets and Other Grocery Stores reached a record high of 293.09700 in February of 2025 and a record low of 100.00000 in December of 1999. Trading Economics provides the current actual value, an historical data chart and related indicators for United States - Producer Price Index by Industry: Supermarkets and Other Grocery Stores - last updated from the United States Federal Reserve on September of 2025.
In Canada, consumers have seen almost all food prices in the grocery store increase in April 2022, compared to the prices in April 2021. The cost of pasta went up the most, increasing by about **** percent. The prices of fresh fruits and vegetables went up by *** percent and *** percent, respectively.
https://www.ibisworld.com/about/termsofuse/https://www.ibisworld.com/about/termsofuse/
Supermarkets and grocery stores have significantly transformed in recent years, driven by technological advancements and shifting consumer preferences. E-commerce has become a cornerstone of the industry, with over 70.0% of grocery retailers integrating online ordering and fulfillment into their operations in 2025. This shift has been fueled by consumer demand for convenience and efficient shopping experiences, prompting retailers to invest heavily in curbside pickup and home delivery services. Major players like Kroger have leveraged these innovations to maintain a competitive edge, while third-party delivery platforms like Instacart have enabled smaller grocers to compete with larger chains. The adoption of "dark stores" and AI-driven technologies has further optimized operations but heightened competition has limited revenue expansion. Over the past five years, revenue has been slipping at a CAGR of 0.1%, reversing course in 2025 to climb 1.1%, reaching $883.1 million. Over the past five years, the industry has faced rising labor costs and competition from discount grocers and private-label products. Automation has played a crucial role in managing these pressures, with more than 50.0% of transactions in major chains processed through self-checkout systems in 2025. Despite these advancements, wages have continued to rise, accounting for an estimated 10.7% of revenue. This has led retailers to focus on strategic pricing and the promotion of high-margin private-label products to sustain profit. The proliferation of discount grocers like Aldi and Lidl has intensified competition, forcing traditional supermarkets to innovate and adapt to retain market share. Looking ahead, supermarkets and grocery stores are likely to endure steady but marginal revenue growth over the next five years, influenced by economic and demographic factors. Increases in per capita disposable income and consumer spending suggest a stable economic environment that could bolster sales of premium and specialty grocery items. However, declines in the agricultural price index may pressure revenue growth, as lower prices could reduce sales value. Urban population growth will continue to drive demand for grocery products, encouraging retailers to adopt urban-centric strategies. Upcoming FDA regulations on product labeling and ongoing geopolitical tensions will present challenges and opportunities for the industry. Retailers that can navigate these complexities and align with evolving consumer preferences, such as the rise of functional foods and the "quiet luxury" trend, will be well-positioned to thrive in a rapidly changing market landscape. Revenue is anticipated to expand marginally over the next five years at a CAGR of less than 0.1%, totaling $883.3 million in 2030.
https://crawlfeeds.com/privacy_policyhttps://crawlfeeds.com/privacy_policy
Explore the Meijer Grocery Store Dataset, a comprehensive collection of data on products available at Meijer, a leading American grocery store chain. This dataset includes detailed information on a wide variety of grocery items such as fresh produce, dairy, meat, beverages, household essentials, and more. Each product entry provides essential details, including product names, categories, prices, brands, descriptions, and availability, offering valuable insights for researchers, data analysts, and retail professionals.
Key Features:
Whether you're analyzing market trends in the grocery sector, researching consumer behavior, or developing new retail strategies, the Meijer Grocery Store Dataset is an invaluable resource that provides detailed insights and extensive coverage of products available at Meijer.
This statistic shows the results of a 2017 survey in which consumers in the United States were asked if they would continue to shop at their local grocery store if the prices increased by a given percentage. According to the report, only ** percent of respondents would continue to shop at their local supermarket if the prices increased by ** percent.
Apache License, v2.0https://www.apache.org/licenses/LICENSE-2.0
License information was derived automatically
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.
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.
CC0 1.0 Universal Public Domain Dedicationhttps://creativecommons.org/publicdomain/zero/1.0/
License information was derived automatically
The Consumer Price Index (CPI) for food is a component of the all-items CPI. The CPI measures the average change over time in the prices paid by urban consumers for a representative market basket of consumer goods and services. While the all-items CPI measures the price changes for all consumer goods and services, including food, the CPI for food measures the changes in the retail prices of food items only.This record was taken from the USDA Enterprise Data Inventory that feeds into the https://data.gov catalog. Data for this record includes the following resources: Web page with links to Excel files For complete information, please visit https://data.gov.
https://www.ibisworld.com/about/termsofuse/https://www.ibisworld.com/about/termsofuse/
Supermarkets have maintained stable volume-driven business strategies amid a pricing environment that has been in the spotlight. Conflict in the Middle East, avian flu outbreaks and other inflationary pressures have driven prices up, with many stores passing on these costs to consumers. While consumers are paying more for groceries and upstream suppliers are seeing their margins shrink, supermarkets Coles and Woolworths have maintained relatively stable profit margins, among the highest in the world. The continued expansion of Aldi and Amazon has forced the two established industry giants to shift gears recently to remain price-competitive on both the physical store and online service fronts, launching short-term price discounting initiatives. These supermarket giants also rely on loyalty programs and promotions. Coles and Woolworths have displayed interest in data analytics, strengthening their relationships with analytics data giants like Palantir to optimise their marketing and operational processes. The ACCC's landmark supermarkets inquiry, while not finding evidence of price gouging, identified 20 key recommendations that would ensure a more sustainable market and avoid oligopolistic exploitation. Supermarket and grocery revenue rose significantly following the COVID-19 outbreak. A combination of panic buying, along with the suspension of many specials and promotions in supermarkets, boosted grocery turnover at the beginning of the period, spiking revenue for the two years through 2020-21. This high benchmark at the start of the period has resulted in an industry correction and an annualised revenue contraction of 0.4% to $144.3 billion over the five years through 2025-26. Revenue is estimated to climb 0.4% in 2025-26, reflecting the price-driven industry growth that falling tobacco sales have offset. Supermarkets and grocery stores are set to perform well, with industry revenue slated to climb at an annualised 1.5% through 2030-31 to $155.6 billion. Population growth will remain a key growth factor that stores rely on, as many continue a volume-driven business approach to generating revenue. Should the transparency-related recommendations from the ACCC's inquiry be implemented, some price-driven growth may be curtailed. Eventually, when inflationary pressures subside and consumer sentiment returns to a positive level, supermarkets and grocers will be well-positioned to take advantage of consumer appetite for value-added and premium goods. Strong growth in online sales is set to continue.
https://www.ibisworld.com/about/termsofuse/https://www.ibisworld.com/about/termsofuse/
European supermarkets’ revenue is forecast to inch upwards at a compound annual rate of 0.6% over the five years through 2025 to reach €1.7 trillion. European supermarkets face intense price competition amid lingering cost pressures. Though EU food inflation has stabilised at 2.7% in April 2025, consumer focus on value remains high. Discounters like Aldi and Lidl continue to gain share as shoppers seek lower prices. Supermarkets are investing heavily in price-matching schemes, though sustaining these is financially challenging. Tesco and Sainsbury’s have begun scaling back such initiatives, while Asda has abandoned its price match strategy. Private label growth is reshaping the sector. Sales reached €352 billion in 2024. Retailers are diversifying these ranges to balance value, quality, and margins. Smarter product mixes are emerging as retailers prioritise local sourcing and premium niches to build loyalty. Strategies like Sainsbury’s “Supporting British” and Mercadona’s local sourcing model resonate with values-driven shoppers. Loyalty programmes have become a strategic pillar, offering personalisation and margin-friendly growth. Programmes like Tesco Clubcard and Carrefour+ drive retention and profitability beyond price wars. Finally, rising labour costs add further pressure. Recent minimum wage increases across Europe have prompted supermarkets to pursue automation, cost savings, and operational efficiencies to protect profitability in an evolving retail landscape. In 2025 alone, revenue is expected to grow at 0.9% to €2 trillion while profit is expected to reach 5.2%, a minor drop from 5.6% in 2022 thanks to intense price competition. Over the five years through 2030, supermarkets’ revenue is slated to climb at a compound annual rate of 2.9% to €3 trillion. Private label growth remains a structural trend while health, convenience, and on-the-go meals are driving new demand, particularly among younger shoppers. Supermarkets must diversify ranges to capture this growth, blending value, quality, and functionality. Convenience is also fuelling an ongoing channel shift. Online grocery sales remain, with consumers willing to pay premiums for faster delivery. Retailers are scaling up e-commerce, partnering with delivery apps, and innovating store formats to meet demand for flexibility. Smaller urban stores, hybrid models and grocerants are gaining traction. To boost efficiency and margins, supermarkets are accelerating investment in automation and AI. Personalised loyalty schemes are driving customer retention, while automation in warehouses and stores enhances productivity. Trials in drone delivery and robotic shelf scanning signal further innovation. Consolidation and integration are key to navigating sustained margin pressure. Larger grocers are pursuing M&A and pan-European alliances to drive scale, while moving upstream into food production for resilience. Supermarkets that adapt rapidly - blending private labels, convenience, technology and scale - will outperform in Europe’s increasingly competitive grocery landscape.
The Procuraduría Federal del Consumidor (PROFECO), or Office of the Federal Prosecutor for the Consumer, continually monitors the price fluctuations and variations of the Mexican basic food basket, which includes 24 different products that are considered basic for every household. As of January 2024, the highest prices for the basic basket were found predominantly in Chedarui supermarkets, with the two most expensive ones being in Mexico City and its neighboring state Estado de Mexico (Edomex). Chedraui Selecto Santa Cruz Atoyac, Mexico City had the highest price of $1,030.25 Mexican pesos, followed by $1,029.95 Mexican pesos at Chedraui San Lorenzo Tetlixtac, Edomex. At the other end of the spectrum, Chedraui's competitor Walmart operated the top two most affordable stores for the basic food basket.
The collected data sets come from the multi-branch store computer system. The data shows: stocking, sales, sales statistics, characteristics of products sold from January 2018 - December 2018.
Store was open in 2009 and is located in Poland. The shop area is 120m2. We offer general food-and basic chemistry, hygienic articles. We have fresh bread from 4 different bakers,sweets, local vegetables, dairy, basic meat(ham,sausages), newspaper, home chemistry etc. Interior is basic.
Location: Shop is located in city that population is around 28 000 people. Shop is placed in mid of house estate( block of flats), near is sports field. The store is open every day: Monday-Saturday from 06:00 to 22:00, Sunday from 10:00 to 20:00. The store has 4 employees. Work in the store takes place on 3 shifts. First: 06:00- 12:00, second: 10:00-16: 00/18:00 and third: 16: 00-22: 00.
The nearest competition: There is another grocery store nearby (30 m). The second store is smaller - also a delicatessen, but half smaller. They offer similar products for daily use- bread, dairy, some meat and general foods. I'm not sure about alcohol and how wide their offer is. However in our store the offer is richer(bread is delivered from 4 different bakers). To know exactly what are the differences I need check details.
Grocery stores in the town:
1 hypermarket
8 supermarkets
25 groceries stores
Shopping trends in Poland Connected to our location: People tend to do general food shopping in supermarkets. If they need daily fresh things, something is missing or they need some special product (not valid at supermarket) they do shopping at groceries like ours. Still in Poland people prefer to go to shop in the neighborhood to do: quicker shopping/talk to people/or just throw out rubbish and do shop at once. To do bigger shopping they go by car to supermarket e.g. after work or on weekend.
Online shopping: E-commerce are 1% of the sales of the FMCG goods market in Poland. It is starting to be popular in bigger cities like Warsaw, Krakow etc. Not popular in our city.
Health trend: -Three-quarters of Polish consumers agree with the statement that "you are what you eat". Therefore, we pay more attention to what we eat and do not save on food products
Convenience trend: According to the expert, the habits of buyers will not change so quickly, and the fact is that Poles like to shop flat - Polish shoppers visit 4 shops a month on average. Also the vast majority of them tend to make smaller purchases, which confirms the most popular shopping mission - replenishing stocks. However, the shopping experience is pleasant in the third place among buyers' motivation and selection of the store. 8 out of 10 buyers prefer to shop in a well-organized store with a nice atmosphere. This is one of the reasons for the development of the convenience channel. He also responds very well to other needs of Polish consumers, because Poles definitely have less and less time, so shopping must be fast and convenient. In this situation, the price is not the most important - 30% of Polish buyers declare that anything that saves their time is worth the higher price.
Our costumer is located in the neighborhood leave in house estate (block of flats). During events of the sport field our opening hours are adjusted to get more costumers from event. Moreover, during trade free Sundays we have costumers from City. Some of the costumer work abroad and come to our shop when they are at home and have special order- e.g. cigarettes packages.
Average age of people is 40 years old. Gender split is equal between men and women. Majority of population are marriages 60% and city has positive natural increase. Unemployment rate is low and similar to country rate- around 7%. Average monthly gross salary is around 3800 PLN gross .This is between minimum and average salary in Poland. (Minimum wage in Poland is :2250 PLN gross and average wage is : 4272 PLN gross.) Occupation split of people is : 40 % industry and construction, 30% agricultural sector, 11%service sector and other. Companies in the city are micro and small ( only few big companies). City is not touristic. In general situation in city is good-budget revenues are growing year to year. Additionally, polish government gives social funds for every second children starts from 2017 and now in 2019 it is going to be extended to every children, without limits. This should boost economy.
In general- Costumer in the city has good shopping condition.
https://www.ibisworld.com/about/termsofuse/https://www.ibisworld.com/about/termsofuse/
Supermarkets and grocery stores have endured a transformative journey since 2019, shaped by the pandemic, geopolitical tensions and an ever-changing market landscape. Grocers first encountered unprecedented demand as lockdowns redirected consumers' spending from entertainment to at-home essentials. Sales spiked, but the boom was fleeting; by 2021, factors like declining disposable income and soaring food prices reversed the trend. Even post-pandemic, the industry is evolving—more consumers than ever are embracing online grocery shopping, prompting traditional retailers to bolster their digital presence. Those unable or unwilling to adapt were largely forced out, while the largest supermarket chains maintained dominance through aggressive merger and acquisition activity and by leveraging vertically integrated operations. This momentous period caused heightened revenue volatility that still persists. Revenue has been rising at a CAGR of 0.1% over the past five years and is expected to dip 0.9% in 2024 when revenue will reach $111.9 billion. Amid this transformation, significant profit disparities worsened in an incredibly concentrated industry. Geopolitical instabilities like the war in Ukraine intensified supply chain disruptions, impacting costs for retailers. Rising energy prices compound this issue, squeezing profit as transportation expenses mount. Meanwhile, climate change injects further unpredictability into production costs, forcing grocers to manage these pressures by cautiously adjusting consumer prices. A class-action lawsuit against Loblaw Cos. Ltd. underscores market concentration challenges, spotlighting potential anti-competitive behaviours and their implications. This legal scrutiny, combined with governmental pressure for price transparency, could foster a more equitable marketplace. Should dominant players like Loblaw adjust their pricing strategies, it may level the playing field for smaller competitors, expanding competition and consumer choice. Over the next five years, a stable economic backdrop will support modest revenue growth for supermarkets. As disposable incomes stabilize, a return to preferred brands could uplift grocers' revenue. A more tempered rise in food prices will allow for strategic pricing decisions, providing grocers with a favourable environment for maintaining consumer loyalty. Technological advancements will be pivotal, with retailers expected to deepen investments in e-commerce and in-store technologies like AI-powered inventory management. This investment will be crucial as online grocery shopping and big-box retailers thrive. Governmental regulatory efforts may also reshape industry dynamics, offering smaller grocers a greater chance to compete by enhancing pricing equity. Continued inventory diversification reflecting health-conscious consumer preferences will likely continue, driven by rising interest in plant-based and ethical products. Retailers that navigate these shifts adeptly, leveraging both technology and emerging consumer trends, are poised to gain a competitive edge. Revenue is forecast to climb at a CAGR of 1.7% over the next five years, reaching $122.0 billion in 2029.
https://creativecommons.org/publicdomain/zero/1.0/https://creativecommons.org/publicdomain/zero/1.0/
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.