Retail Sales Control Group in the United States decreased to -0.10 percent in September from 0.60 percent in August of 2025. This dataset includes a chart with historical data for the United States Retail Sales Control Group MoM.

The 'Retail Sales Control Group MoM' in the USA measures the monthly change in retail sales, excluding autos, gasoline, building materials, and food services.-2026-12-16

The 'Retail Sales Control Group MoM' in the USA measures the monthly change in retail sales, excluding autos, gasoline, building materials, and food services.-2026-08-14

The 'Retail Sales Control Group MoM' in the USA measures the monthly change in retail sales, excluding autos, gasoline, building materials, and food services.-2025-05-15

This dataset provides values for RETAIL SALES MOM CONTROL GROUP reported in several countries. The data includes current values, previous releases, historical highs and record lows, release frequency, reported unit and currency.

Graph and download economic data for Advance Retail Sales: Retail Trade (RSXFS) from Jan 1992 to Aug 2025 about retail trade, sales, retail, services, and USA.

Overview with Chart & Report: Retail Control m/m is a volume of retail sales of the control group of goods in the given month compared to the previous one. The calculation excludes food, cars, building materials and motor fuel

This dataset is used for the working paper 'Service Level Anchoring in Demand Forecasting: The Moderating Impact of Retail Promotions and Product Perishability,' authored by Fahimnia, Tan, and Tahirov. The data was collected during a laboratory experiment designed based on data from a real case in the fast-moving consumer goods (FMCG) industry. Each subject was assigned to one of the following treatment groups:

T1 (control group) - forecasts were made for a nonperishable product (shelf life of 9 months), with no service level information.

T2 - forecasts were made for a nonperishable product, with a high service level information.

T3 - the forecasts were still for a nonperishable product, with a lower service level information.

T4 - forecasts were made for a perishable product, with high service level information.

T5 - forecasts were made for a perishable product, with low service level information.

A total of 313 subjects prepared four forecasts each. For each forecast, a subject was provided with 30 weeks of sales data, including both normal and promotional weeks. The promotional weeks were highlighted as 'Promo.' The subjects were asked to provide their forecasts for week 31, basing their forecasts solely on historical data and potential sales promotions. Mean absolute percentage error (MAPE) was used to assess the accuracy of the forecasts. Percentage forecast bias was used to measure the deviation of adjusted forecasts from the normative benchmark forecast.

The new version of dataset includes three Excel files:

Excel file 1 (“DataSet.xlsx”) – This file contains the average adjusted forecast for each subject during both the promotional and non-promotional periods, along with other data such as demographic information, calculated MAPE, forecast bias, service level, and product perishability.

Excel file 2 and 3 (“Pool_1_Perishable” and “Pool_2_Non perishable”) - These files contain all the real datasets for perishable and non-perishable products used during the experiment.

This dataset is used for the working paper 'Service Level Anchoring in Demand Forecasting: The Moderating Impact of Retail Promotions and Product Perishability,' authored by Fahimnia, Tan, and Tahirov. The data was collected during a laboratory experiment designed based on data from a real case in the fast-moving consumer goods (FMCG) industry. Each subject was assigned to one of the following treatment groups:

T1 (control group) - forecasts were made for a nonperishable product (shelf life of 9 months), with no service level information.

T2 - forecasts were made for a nonperishable product, with a high service level information.

T3 - the forecasts were still for a nonperishable product, with a lower service level information.

T4 - forecasts were made for a perishable product, with high service level information.

T5 - forecasts were made for a perishable product, with low service level information.

A total of 313 subjects prepared four forecasts each. For each forecast, a subject was provided with 30 weeks of sales data, including both normal and promotional weeks. The promotional weeks were highlighted as 'Promo.' The subjects were asked to provide their forecasts for week 31, basing their forecasts solely on historical data and potential sales promotions. Mean absolute percentage error (MAPE) was used to assess the accuracy of the forecasts. Percentage forecast bias was used to measure the deviation of adjusted forecasts from the normative benchmark forecast.

The new version of dataset includes three Excel files:

Excel file 1 (“DataSet.xlsx”) – This file contains the average adjusted forecast for each subject during both the promotional and non-promotional periods, along with other data such as demographic information, calculated MAPE, forecast bias, service level, and product perishability.

Excel file 2 and 3 (“Pool_1_Perishable” and “Pool_2_Non perishable”) - These files contain all the real datasets for perishable and non-perishable products used during the experiment.

Business attitudes towards consumer legislation. Product safety. Consumer authorities.

The 'Retail Sales Control Group MoM' in the USA measures the monthly change in retail sales, excluding autos, gasoline, building materials, and food services.

Comparison of changes in sales of confectionery before/after intervention between intervention vs. control stores, across store IMD groups.

Over the five years through 2025, clothing, footwear and leather goods retailing revenue is expected to swell at a compound annual rate of 1.5%. European fashion retailers are accelerating nearshoring to reduce supply chain risks, improve agility and meet sustainability goals, despite higher regional labour costs and trade complexities. As wage inflation persists and consumer price sensitivity remains high, operational efficiency and workforce strategy are becoming critical levers for retailers. Those that adapt pricing, diversify sales channels and localise assortments will be best positioned to thrive in a cautious, value-focused market. The brands responding with relevance and reach – not just price – will define the next phase of retail performance in Europe. Consumer caution is driving value-focused shopping, limiting profit, and value retailers like Primark are outperforming mid-market peers, prompting brands such as Inditex and Hugo Boss to expand off-price, low-cost and resale channels to stay competitive with increasingly price-sensitive shoppers. Even luxury retailers in Europe face slowing global sales. Brands are shifting to entry-level goods, direct-to-consumer sales and personalised experiences. In 2025, revenue is anticipated to dip by 0.9% to €333.6 billion thanks to low disposable income and sluggish consumer confidence. Tightening EU regulation and rising consumer expectations are pushing European fashion retailers to prioritise sustainability. Leading brands like Kering, Mulberry and H&M are investing in traceability and ethical practices to meet new ESG standards and protect long-term growth. Sustainability is also reshaping fashion retail as European consumers shift towards second-hand and circular economy options. Retailers like Zara, Uniqlo and Zalando are expanding resale, repair and rental services to meet growing demand and strengthen customer loyalty through sustainable innovation. The influence of social media is another key trend, reshaping fashion retail by accelerating trend adoption and fuelling demand for faster, more responsive offerings. Retailers that successfully integrate social-first strategies and influencer partnerships will be better positioned to capture growth in this evolving market. Over the five years through 2030, revenue is projected to climb at a compound annual rate of 3% to €386.8 billion, while profit is anticipated to absorb 3% of revenue. Overstocking and discounting will continue to weigh on the industry, thinning profit, increasing waste and weakening brands’ perception. Investments in AI, inventory agility and data-driven decision-making should help retailers regain control over their stock levels, laying the foundation for more resilient and profitable growth in a highly competitive and fast-changing market. Sustainability is now a business imperative; fashion retailers that move early to meet rising standards – both voluntary and mandatory – will be more likely to thrive in the long term. Those who delay face rising costs, shrinking market access and reputational fallout. At the same time, the social media landscape is no longer optional for clothing, footwear and leather goods retailers in Europe – it’s foundational. Brands that create relevant, shoppable and emotionally resonant content on platforms like TikTok will be best positioned to secure both attention and spending from the next generation of fashion consumers.

Check Market Research Intellect's Contact Lenses For Myopia Control Market Report, pegged at USD 5.2 trillion in 2024 and projected to reach USD 8.1 trillion by 2033, advancing with a CAGR of 5.5% (2026-2033).Explore factors such as rising applications, technological shifts, and industry leaders.

Recent developments include: In February 7th 2023, Amazon said they are working with Green Mountain Power, an electric utility company in Vermont that will have fleets of electric delivery vans delivering products to customers. This is aimed at reducing carbon emissions as well as establishing a sustainable logistics industry., In November 3rd 2021, DHL International GmbH launched MySupplyChain, which is their Digital platform using AI and ML for seamless end-to-end visibility and control of supply chains. With this platform, retail trade is expected to gain from quicker and more effective logistics services., Aramex PJSC, for example, proclaimed recently that it had effectively bought Access USA Shipping, LLC (MyUS), a technology-enabled global platform facilitating cross-border e-commerce. Aramex received all necessary regulatory clearances and later concluded the acquisition at about USD 265 million in cash in October 2022., For instance, Boohoo Group plc picked DHL Supply Chain in October 2022 – a Germany-based contract logistics firm that is part of Deutsche Post DHL Group – to oversee their first-ever distribution center in the US. Warehousing solutions provided by DHL Supply Chain will enable Boohoo’s projected expansion in the US market, as the British fashion retailer has annual sales of over $2.4 billion., The Logistics Efficiency Enhancement Program (LEEP) of the Government of India, August 2022 saw the Ministry of Road Transport & Highways (MoRTH) developing multimodal logistics parks to address inadequate roads and material handling infrastructure.. Key drivers for this market are: Increased E-commerce Penetration: The surge in online shopping drives the need for efficient and customer-centric retail logistics solutions.

Globalization and Supply Chain Complexity: Complex global supply chains necessitate innovative and efficient logistics systems to manage cross-border flows.

Technological Advancements: Automation, AI, and data analytics enhance logistics efficiency and reduce costs.

Sustainability and Environmental Concerns: Consumers and businesses prioritize environmentally friendly logistics practices.

Customer Demand for Convenience and Personalization: Evolving customer expectations demand personalized and seamless logistics experiences.. Potential restraints include: Infrastructure and Regulatory Bottlenecks: Inadequate infrastructure and complex regulations can hamper logistics efficiency and increase costs.

Labor Shortages and Rising Costs: Skilled labor shortages and rising transportation costs pose operational challenges.

Supply Chain Disruptions: Global events and disruptions can impact supply chains and affect logistics operations.

Inventory Management Challenges: Managing inventory levels efficiently to meet demand while minimizing waste is crucial.

Cybersecurity Risks: The increasing use of technology exposes logistics systems to cybersecurity threats.. Notable trends are: Autonomous and Electric Vehicles: The adoption of autonomous vehicles and electric fleets reduces carbon emissions and enhances safety.

Blockchain for Supply Chain Visibility: Blockchain technology improves supply chain transparency and traceability.

Predictive Analytics and AI: Data analytics and AI optimize logistics planning and decision-making.

Collaborative Logistics Ecosystems: Partnerships and collaborations among logistics providers drive innovation and efficiency.

Customer-Centric Logistics: Personalized and value-added logistics services enhance customer satisfaction..

From 2004 to 2024, the net revenue of Amazon e-commerce and service sales has increased tremendously. In the fiscal year ending December 31, the multinational e-commerce company's net revenue was almost 638 billion U.S. dollars, up from 575 billion U.S. dollars in 2023.Amazon.com, a U.S. e-commerce company originally founded in 1994, is the world’s largest online retailer of books, clothing, electronics, music, and many more goods. As of 2024, the company generates the majority of it's net revenues through online retail product sales, followed by third-party retail seller services, cloud computing services, and retail subscription services including Amazon Prime. From seller to digital environment Through Amazon, consumers are able to purchase goods at a rather discounted price from both small and large companies as well as from other users. Both new and used goods are sold on the website. Due to the wide variety of goods available at prices which often undercut local brick-and-mortar retail offerings, Amazon has dominated the retailer market. As of 2024, Amazon’s brand worth amounts to over 185 billion U.S. dollars, topping the likes of companies such as Walmart, Ikea, as well as digital competitors Alibaba and eBay. One of Amazon's first forays into the world of hardware was its e-reader Kindle, one of the most popular e-book readers worldwide. More recently, Amazon has also released several series of own-branded products and a voice-controlled virtual assistant, Alexa. Headquartered in North America Due to its location, Amazon offers more services in North America than worldwide. As a result, the majority of the company’s net revenue in 2023 was actually earned in the United States, Canada, and Mexico. In 2023, approximately 353 billion U.S. dollars was earned in North America compared to only roughly 131 billion U.S. dollars internationally.