To mitigate the impact of inflation in 2023, most business-to-business (B2B) buyers revised their relationships with key suppliers in France. According to a survey, nearly **** in *** B2B buyers tried to obtain better supplying conditions in order to generate operational savings. As an alternative, ** percent of surveyed buyers simply looked for other suppliers offering better options. Last in the ranking came tasks automation, as ** percent of respondents considered this action effective in facing the inflationary crisis.

We study the impact of targeted price controls on supermarket products in Argentina between 2007 and 2015. Using web-scraping methods, we collected daily prices for controlled and non-controlled goods and examined the differential effects of the policy on inflation, product availability, entry and exit, and price dispersion. We first show that price controls have only a small and temporary effect on inflation that reverses itself as soon as the controls are lifted. Second, contrary to common beliefs, we find that controlled goods are consistently available for sale. Third, firms compensate for price controls by introducing new product varieties at higher prices, thereby increasing price dispersion within narrow categories. Overall, our results show that targeted price controls are just as ineffective as more traditional forms of price controls in reducing aggregate inflation.

Explore the impact of inflation in Japan on living costs, with households and businesses facing increasing financial pressures amid rising prices for essentials.

IBISWorld examines the potentially significant effects of a global recession on domestic industries, businesses and consumers.

Indonesia Business Survey: Inflation Expectation: Construction data was reported at 3.778 % in Dec 2022. This records an increase from the previous number of 3.680 % for Sep 2022. Indonesia Business Survey: Inflation Expectation: Construction data is updated quarterly, averaging 3.646 % from Jun 2013 (Median) to Dec 2022, with 39 observations. The data reached an all-time high of 7.298 % in Sep 2013 and a record low of 3.180 % in Jun 2021. Indonesia Business Survey: Inflation Expectation: Construction data remains active status in CEIC and is reported by Bank Indonesia. The data is categorized under Indonesia Premium Database’s Business and Economic Survey – Table ID.SD008: Business Survey: Inflation Expectation. [COVID-19-IMPACT]

President Trump's tariffs on China have disrupted American businesses, causing price hikes and economic uncertainty. Learn about the impact on the promotional products market and broader economic indicators.

In 2023, a survey found that to mitigate the effects of inflation, a significant proportion of micro, small, and medium enterprises (MSMEs) had to resort to different strategies. A share of ** percent of them utilized their personal savings to support the business, while ** percent reduced their business activities. In addition, nearly one-fourth (** percent) attempted to overcome the financial strain by implementing measures such as employee layoffs or salary cuts.

United States BIE: Sales Level Effect on Price: Little or Number Influence data was reported at 40.831 % in Nov 2023. This records a decrease from the previous number of 49.521 % for Aug 2023. United States BIE: Sales Level Effect on Price: Little or Number Influence data is updated quarterly, averaging 46.598 % from Nov 2011 (Median) to Nov 2023, with 48 observations. The data reached an all-time high of 63.557 % in Aug 2022 and a record low of 34.978 % in Aug 2020. United States BIE: Sales Level Effect on Price: Little or Number Influence data remains active status in CEIC and is reported by Federal Reserve Bank of Atlanta. The data is categorized under Global Database’s United States – Table US.I122: Business Inflation Expectations Survey: Price Change. Business Inflation Expectations Survey Questionnaire: Projecting ahead over the next 12 months, how do you think the following five common influences will affect the prices of your products and/or services?

Significant supply chain constraints have increased prices and contributed to soaring inflation rates. These price increases are having a varied effect on Australian businesses.

In a January 2025 survey on domestic travel in the United Kingdom, 23 percent of respondents planned to book cheaper accommodation services in the next six months due to the cost of living crisis. Looking for more free activities and spending less on eating out were other popular strategies planned by domestic travelers to save money.

Consumer price inflation statistics are important indicators of how the UK economy is performing. They are used in many ways by individuals, government, businesses and academics. Inflation statistics impact on everyone in some way as they affect interest rates, tax allowances, benefits, pensions, savings rates, maintenance contracts and many other payments. This article provides information about the users and uses of consumer price inflation statistics, and user experiences of these statistics, including the new CPIH and RPIJ measures. In addition, it also provides information on the characteristics of the different measures of consumer price inflation in relation to their potential use.

Source agency: Office for National Statistics

Designation: National Statistics

Language: English

Alternative title: consumer price inflation statistics

United States BIE: Non-Labour Cost Effect on Price: Strong Upward Influence data was reported at 14.833 % in Nov 2023. This records a decrease from the previous number of 15.530 % for Aug 2023. United States BIE: Non-Labour Cost Effect on Price: Strong Upward Influence data is updated quarterly, averaging 9.092 % from Nov 2011 (Median) to Nov 2023, with 48 observations. The data reached an all-time high of 56.375 % in May 2022 and a record low of 2.038 % in Feb 2015. United States BIE: Non-Labour Cost Effect on Price: Strong Upward Influence data remains active status in CEIC and is reported by Federal Reserve Bank of Atlanta. The data is categorized under Global Database’s United States – Table US.I122: Business Inflation Expectations Survey: Price Change. Business Inflation Expectations Survey Questionnaire: Projecting ahead over the next 12 months, how do you think the following five common influences will affect the prices of your products and/or services?

Many business cycle models use a flat short-run Phillips curve, due to time-dependent pricing and strategic complementarities, to explain fluctuations in real output. But, in doing so, these models predict unrealistically high persistence and stability of US inflation in recent decades. We calculate "reset price inflation"—based on new prices chosen by the subsample of price changers—to dissect this discrepancy. We find that the models generate too much persistence and stability both in reset price inflation and in the way reset price inflation is converted into actual inflation. Our findings present a challenge to existing explanations for business cycles. (JEL E31, E52)

United States BIE: Non-Labour Cost Effect on Price: Diffusion Index data was reported at 38.487 % Point in Nov 2023. This records a decrease from the previous number of 44.505 % Point for Aug 2023. United States BIE: Non-Labour Cost Effect on Price: Diffusion Index data is updated quarterly, averaging 38.547 % Point from Nov 2011 (Median) to Nov 2023, with 48 observations. The data reached an all-time high of 70.768 % Point in May 2022 and a record low of 21.417 % Point in Feb 2015. United States BIE: Non-Labour Cost Effect on Price: Diffusion Index data remains active status in CEIC and is reported by Federal Reserve Bank of Atlanta. The data is categorized under Global Database’s United States – Table US.I122: Business Inflation Expectations Survey: Price Change.

Replication Data for: Synchronization without similarity. The effects of COVID-19 pandemic on GDP growth and inflation in the Eurozone

Following the BoE’s interest rate cut, explore the immediate impact on the UK economy and how finance professionals and businesses can navigate the prospect of future reductions.

The Inflation Management Services market has emerged as a critical sector in today's economic landscape, where businesses strive to navigate the challenges posed by rising costs and fluctuating inflation rates. These services are designed to provide organizations with the necessary tools and strategies to manage the

Business brokers endured significant hardship amid economic headwinds, slumping new deal volumes and the persistent effects of national interest rates on businesses’ acquisition capacity. Despite the higher access to credit, business brokers endured sharp declines, particularly in 2022 and 2023, due to inflationary spikes, rising interest rates and an inconsistent mergers & acquisition (M&A) climate. In contrast to merger and acquisition advisers, business brokers focus on companies valued at less than $2.0 million, often finding the ultimate buyer near the company's location. According to S&P Global, overall transaction values slumped to $1.0 trillion in 2024 from a high of $1.8 trillion in 2021, which limited the range of lucrative contracts available for brokers and bolstered local competition across the small business space. The acceleration of interest rates in 2022 and 2023 to combat inflation also curtailed small businesses’ fiscal flexibility and lowered commission revenue from business transactions for brokers. Revenue fell at a CAGR of 3.3% to an estimated $1.0 billion over the past five years, including an estimated 1.8% boost in 2025 alone. Brokers’ lack of market concentration continues to influence the national landscape. In 2022, 47.6% of all business brokers were nonemploying establishments, which traditionally earn between 5.0% and 10.0% of the ultimate sale price in commission. In recent years, optimism surrounding the business-for-sale market has increased among business brokers; however, the effects of high interest rates and a restrictive borrowing environment remains the biggest barrier to further growth, according to the IBBA. A slowdown in the M&A space, coupled with greater proliferation of DIY alternatives, caused profit to stagnate. Moving forward, the continued uncertainty surrounding interest rates, higher borrowing costs and deceleration in the number of businesses and aggregate private investment is expected to yield slower revenue growth. Nonetheless, the continuity of lower middle market (LMM) transaction demand, coupled with favorable demographic trends, will benefit brokers. A rapidly rising retiree population, as evident by the anticipated 2.4% boost in adults over the age of 65, will generate more business sale opportunities across different geographies. The expansion of technology will allow brokers to expand service efficiency, reducing dependence on manual labor by automating remedial tasks such as data gathering and market research. However, local competitors and the continued presence of DIY alternatives will dampen larger growth. Revenue is expected to grow at a CAGR of 2.0% to an estimated $1.2 billion over the next five years.

United States BIE: Productivity Effect on Price: Little or Number Influence data was reported at 65.816 % in Nov 2023. This records a decrease from the previous number of 69.331 % for Aug 2023. United States BIE: Productivity Effect on Price: Little or Number Influence data is updated quarterly, averaging 68.010 % from Nov 2011 (Median) to Nov 2023, with 48 observations. The data reached an all-time high of 79.949 % in Nov 2018 and a record low of 60.350 % in Nov 2014. United States BIE: Productivity Effect on Price: Little or Number Influence data remains active status in CEIC and is reported by Federal Reserve Bank of Atlanta. The data is categorized under Global Database’s United States – Table US.I122: Business Inflation Expectations Survey: Price Change. Business Inflation Expectations Survey Questionnaire: Projecting ahead over the next 12 months, how do you think the following five common influences will affect the prices of your products and/or services?

Envestnet®| Yodlee®'s Electronic Payment Data (Aggregate/Row) Panels consist of de-identified, near-real time (T+1) USA credit/debit/ACH transaction level data – offering a wide view of the consumer activity ecosystem. The underlying data is sourced from end users leveraging the aggregation portion of the Envestnet®| Yodlee®'s financial technology platform.

Envestnet | Yodlee Consumer Panels (Aggregate/Row) include data relating to millions of transactions, including ticket size and merchant location. The dataset includes de-identified credit/debit card and bank transactions (such as a payroll deposit, account transfer, or mortgage payment). Our coverage offers insights into areas such as consumer, TMT, energy, REITs, internet, utilities, ecommerce, MBS, CMBS, equities, credit, commodities, FX, and corporate activity. We apply rigorous data science practices to deliver key KPIs daily that are focused, relevant, and ready to put into production.

We offer free trials. Our team is available to provide support for loading, validation, sample scripts, or other services you may need to generate insights from our data.

Investors, corporate researchers, and corporates can use our data to answer some key business questions such as: - How much are consumers spending with specific merchants/brands and how is that changing over time? - Is the share of consumer spend at a specific merchant increasing or decreasing? - How are consumers reacting to new products or services launched by merchants? - For loyal customers, how is the share of spend changing over time? - What is the company’s market share in a region for similar customers? - Is the company’s loyal user base increasing or decreasing? - Is the lifetime customer value increasing or decreasing?

Additional Use Cases: - Use spending data to analyze sales/revenue broadly (sector-wide) or granular (company-specific). Historically, our tracked consumer spend has correlated above 85% with company-reported data from thousands of firms. Users can sort and filter by many metrics and KPIs, such as sales and transaction growth rates and online or offline transactions, as well as view customer behavior within a geographic market at a state or city level. - Reveal cohort consumer behavior to decipher long-term behavioral consumer spending shifts. Measure market share, wallet share, loyalty, consumer lifetime value, retention, demographics, and more.) - Study the effects of inflation rates via such metrics as increased total spend, ticket size, and number of transactions. - Seek out alpha-generating signals or manage your business strategically with essential, aggregated transaction and spending data analytics.

Use Cases Categories (Our data provides an innumerable amount of use cases, and we look forward to working with new ones): 1. Market Research: Company Analysis, Company Valuation, Competitive Intelligence, Competitor Analysis, Competitor Analytics, Competitor Insights, Customer Data Enrichment, Customer Data Insights, Customer Data Intelligence, Demand Forecasting, Ecommerce Intelligence, Employee Pay Strategy, Employment Analytics, Job Income Analysis, Job Market Pricing, Marketing, Marketing Data Enrichment, Marketing Intelligence, Marketing Strategy, Payment History Analytics, Price Analysis, Pricing Analytics, Retail, Retail Analytics, Retail Intelligence, Retail POS Data Analysis, and Salary Benchmarking

1. Investment Research: Financial Services, Hedge Funds, Investing, Mergers & Acquisitions (M&A), Stock Picking, Venture Capital (VC)

2. Consumer Analysis: Consumer Data Enrichment, Consumer Intelligence

3. Market Data: AnalyticsB2C Data Enrichment, Bank Data Enrichment, Behavioral Analytics, Benchmarking, Customer Insights, Customer Intelligence, Data Enhancement, Data Enrichment, Data Intelligence, Data Modeling, Ecommerce Analysis, Ecommerce Data Enrichment, Economic Analysis, Financial Data Enrichment, Financial Intelligence, Local Economic Forecasting, Location-based Analytics, Market Analysis, Market Analytics, Market Intelligence, Market Potential Analysis, Market Research, Market Share Analysis, Sales, Sales Data Enrichment, Sales Enablement, Sales Insights, Sales Intelligence, Spending Analytics, Stock Market Predictions, and Trend Analysis