Dataset

This dataset was created by Furqan Javed

Released under Data files © Original Authors

Contents

According to the data, Walmart's net sales were forecast to be around 547 billion U.S. dollars in 2021, following the upsurge in 2020 that was driven by COVID-19. From 2021 onwards, Walmart's net sales were forecast to increase with each consecutive year. By 2026, it was forecast that Walmart's net sales would grow to 675.2 billion U.S. dollars, which includes store-based and e-commerce net sales.

Dataset

This dataset was created by namndt

Contents

Analysis of ‘Predict Future Sales - Eng Translation’ provided by Analyst-2 (analyst-2.ai), based on source dataset retrieved from https://www.kaggle.com/deepdivelm/predict-future-sales-eng-translation on 28 January 2022.

--- No further description of dataset provided by original source ---

--- Original source retains full ownership of the source dataset ---

Dataset

This dataset was created by ShashankNainwal

Released under CC0: Public Domain

Contents

Dataset

This dataset was created by Luke M

Contents

In the time period between 2017 and 2020, the US-based retail corporation Target experienced the largest year-over-year sales growth in 2020, when the company's sales increased by 19.8 percent compared to the previous year. Target is estimated to have a 8.6 percent growth in sales in 2021 compared to sales in 2020. Forecast suggests that the company is to increase its sales by 3.8 percent in 2026.

Retail Sales in the United States increased 0.20 percent in February of 2025 over the previous month. This dataset provides - U.S. December Retail Sales Increased More Than Forecast - actual values, historical data, forecast, chart, statistics, economic calendar and news.

In 2028, U.S.-based pharmaceutical company AbbVie is expected to generate nearly 66 billion U.S. dollars in sales revenue through prescription drugs, making it the world's top drug manufacturer. This statistic illustrates the sales forecast of the leading 10 pharmaceutical companies worldwide in 2028.

New Home Sales in the United States increased to 676 Thousand units in February from 664 Thousand units in January of 2025. This dataset provides the latest reported value for - United States New Home Sales - plus previous releases, historical high and low, short-term forecast and long-term prediction, economic calendar, survey consensus and news.

In 2023, global retail e-commerce sales reached an estimated 5.8 trillion U.S. dollars. Projections indicate a 39 percent growth in this figure over the coming years, with expectations to surpass eight trillion dollars by 2027.

World players Among the key players on the world stage, the Chinese retail giant Alibaba holds the title of the largest e-commerce retailer globally, accounting for a 23 percent market share. Nevertheless, forecasts suggest that by 2027, Seattle-based e-commerce powerhouse Amazon will surpass Alibaba in estimated sales, reaching a staggering 1.2 trillion U.S. dollars in online sales.

Leading e-tailing countries The Chinese e-commerce market was the biggest worldwide in 2023, as internet sales constituted almost half of the country's retail transactions. Indonesia ranked second with the highest share of retail sales online (32 percent), closely trailed by the United Kingdom and South Korea, exceeding the 30 percent mark. That year, the up-and-coming e-commerce markets centered around Asia. The Philippines and India stood out as the swiftest-growing e-commerce markets based on online sales, anticipating a growth rate surpassing 20 percent.

Weather is the 2nd Biggest Influencer of Consumer Behavior shortly after the state of the economy.

As weather patterns continue to shift, Gaia Retail™ offers a powerful opportunity to combine the strengths of your sales data and our weather expertise to identify correlations and trends between weather patterns and your business performance. Our algorithm uses this crucial information to predict future sales patterns and generate marketing insights for your unique business, helping you make more informed decisions.

Get targeted insights for various parts of your business

Historical Analysis: to discover how weather has impacted your business in the past

Weather Driven Demand: to predict sales based on weather forecasts

Marketing Insights: to analyse hyper local weather impact to inform your marketing strategies

Understand the impact of weather anomalies on sales

Any shift in weather patterns can have a sizable impact on the demand for specific products and services. The Weather Deviation module provides a visual as well as an in-depth reporting into how the weather across North America will be different than ‘normal’ in the coming month. Gaia Retail also provides quantified impact of weather anomalies on specific products and categories so you can plan your business and marketing strategies to tackle the change.

Take Weather Aware Marketing to a whole new level

With highly comprehensive weather impact reporting for every product and category synced with Gaia Retail - take the guesswork out of your strategies Uncover growth opportunity: by identifying areas of increased demand and activating advertising for added push Optimise promotions: by identifying areas of reduced demand and activating discounts and promotions to offset the weather impact Enjoy one-click activation: by linking your DV360 and Meta advertising accounts to Gaia Retail and triggering ads from within the UI

Gaia Retail by Pelmorex Corp

With 35+ years of rich weather expertise, Pelmorex presents Gaia Retail, that helps you understand the changing weather patterns to uncover new business potential and thrive in any climate!

Sales Forecasting Software Market size is expected to develop revenue and exponential market growth at a remarkable CAGR during the forecast period from 2024-2032

In 2020, global retail sales fell by 2.9 percent as a result of the COVID-19 pandemic, bouncing back in 2021 with a growth of 9.7 percent Global retail sales were projected to amount to around 27.3 trillion U.S. dollars by 2022, up from approximately 23.7 trillion U.S. dollars in 2020.

American retailers worldwide
As a result of globalization and various trade agreements between markets and countries, many retailers are capable of doing business on a global scale. Many of the world’s leading retailers are American companies. Walmart and Amazon are examples of such American retailers. The success of U.S. retailers can also be seen through their performance in online retail.

Retail in the U.S.
The domestic retail market in the United States is a lucrative market, in which many companies compete. Walmart, a retail chain offering low prices and a wide selection of products, is the leading retailer in the United States. Amazon, The Kroger Co., Costco, and Target are a selection of other leading U.S. retailers.

Performance Analytics Market size was valued at USD 3.6 Billion in 2023 and is projected to reach USD 14.6 Billion by 2031 growing at a CAGR of 10.6% from 2024 to 2031.

Global Performance Analytics Market Dynamics

The key market dynamics that are shaping the Performance Analytics Market include:

Key Market Drivers:

Demand for Data-Driven Decision Making: The importance of data-driven decision-making processes is being recognized by organizations in all sectors of the economy. Through data-driven insights, performance analytics solutions enable businesses to make decisions that maximize productivity, profitability, and efficiency.

Digital Transformation Initiatives: The use of performance analytics solutions is being driven by the continuous digital transformation occurring across many industries. Companies are using these tools to streamline processes, improve client interactions, and maintain their competitiveness in quickly changing industries.

Key Challenges:

Scalability: Performance analytics systems must expand to accommodate growing businesses and increasing data volumes. It’s a constant struggle to make sure analytics tools can manage massive amounts of data properly and efficiently without compromising performance.

Interpretability and Actionability: extracting knowledge from data is one thing, but making sure that knowledge is comprehensible and useful is quite another. Decision-makers must be able to quickly and readily understand the information presented by performance analytics systems so they can act appropriately in response to the insights.

Key Trends:

Growing Adoption of AI and Machine Learning: These two technologies were starting to be included as standard features in performance analytics products. Businesses are now able to more correctly predict future performance and make data-driven decisions because to these technologies enhanced predictive and prescriptive analytics capabilities.

Emphasis on Real-time Analytics: Real-time analytics solutions have gained popularity as a result of the increasing volume and velocity of data generated by enterprises. Companies aimed to evaluate data as it was produced in order to obtain quick insights and react quickly to shifting consumer preferences and market situations.

Retail Sales in the United States increased 3.10 percent in February of 2025 over the same month in the previous year. This dataset provides - United States Retail Sales YoY - actual values, historical data, forecast, chart, statistics, economic calendar and news.

The size of the Sales Force Automation Market was valued at USD 12.0 Billion in 2023 and is projected to reach USD 21.94 Billion by 2032, with an expected CAGR of 9.0% during the forecast period. The Sales Force Automation (SFA) market has experienced substantial growth in recent years, driven by the increasing adoption of cloud-based solutions and the growing need for businesses to streamline their sales processes. SFA systems, which integrate customer relationship management (CRM), data analytics, and automation tools, enable organizations to enhance sales team efficiency, reduce operational costs, and improve customer engagement. As businesses face evolving customer expectations, the demand for advanced technologies that enable real-time data insights and decision-making has surged. The SFA market is poised for further expansion, with small and medium-sized enterprises (SMEs) becoming key adopters of these solutions to enhance sales forecasting, lead management, and pipeline tracking. Additionally, the integration of artificial intelligence and machine learning into SFA platforms is transforming how sales teams personalize their interactions with clients, ensuring more targeted and effective strategies. As the market evolves, the focus on mobile solutions, AI-driven analytics, and seamless integration with existing business tools is expected to drive innovation and shape the future of sales force automation in various industries, including retail, healthcare, and manufacturing. Recent developments include: August 2019: Salesforce.com, Inc. confirmed its purchase of Tableau Software, a cloud-based analytics provider. Through this purchase, the business has the opportunity to play a larger role in accelerating digital transformation by enabling companies around the globe to tap into data across their entire organization and gain deeper insights to make better decisions, improve client relationships, and accelerate innovation., March 2019: Oracle Corporation introduced various AI and machine learning-powered enhancements for its portfolio of marketing instruments in March 2019. This was done to increase productivity in the sales and marketing process by using AI to speed up previously manual operations while using all the information., 2019: Salesforce.com Inc. released substantial upgrades to its Lightning automated sales force services in 2019 to increase sales efficiency while simplifying them.. Key drivers for this market are: Increased Sales Complexity: Growing competition and customer expectations have led to more complex sales processes. Need for Improved Sales Efficiency: Businesses seek to streamline operations and reduce costs through automation. Rising Data Volumes and Analytics: Access to real-time data enables informed decision-making and personalized customer engagement. Growing Acceptance of Cloud-Based Solutions: SaaS offerings provide flexibility, scalability, and reduced maintenance costs. Emergence of Artificial Intelligence (AI): AI powers advanced automation, predictive analytics, and personalized recommendations.. Potential restraints include: Data Privacy and Security Concerns: Concerns about the security of sensitive customer data can hinder adoption. Adoption Challenges for SMEs: Limited resources and lack of expertise can make it difficult for SMEs to implement and utilize sales force automation systems. Integration Complexity: Integrating sales force automation systems with existing IT infrastructure can be time-consuming and expensive. High Cost of Implementation: On-premise solutions require significant upfront investment and ongoing maintenance. Vendor Lock-In: SaaS solutions can lead to vendor lock-in, limiting flexibility and choice.. Notable trends are: Conversational AI and Chatbots: AI-powered chatbots automate customer interactions and provide personalized support Predictive Analytics and Prescriptive Recommendations: AI algorithms provide insights into customer behavior and recommend optimal sales actions. Augmented Reality (AR): AR applications provide immersive experiences for product demonstrations and customer training. Integration with e-commerce platforms: Sales force automation systems integrate with e-commerce platforms to provide seamless shopping experiences. Mobile Optimization: Mobile-friendly sales force automation solutions enable teams to work efficiently on the go..

Problem Statement

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A large retail chain faced challenges in managing its inventory effectively. Frequent stockouts and overstock situations led to lost sales opportunities, high holding costs, and reduced customer satisfaction. The retailer needed a solution to optimize inventory levels across multiple locations to ensure the right products were available at the right time without excess stock.

Challenge

Managing inventory in real-time for a diverse range of products across numerous locations was highly complex. The traditional manual tracking and forecasting methods were inadequate to handle:

Large-scale data from multiple stores.

Dynamic demand fluctuations influenced by seasonality, promotions, and local events.

High operational costs due to inaccurate demand forecasts and inefficient restocking processes.

Solution Provided

A predictive analytics system powered by machine learning algorithms was implemented to optimize inventory management. The solution was was designed to:

Leverage historical sales data, demand trends, and external factors such as holidays and weather.

Predict future demand accurately for each product and store.

Provide actionable insights to avoid stockouts and minimize overstock scenarios.

Development Steps

Data Collection

Collected sales, inventory, and operational data from the ERP system, along with external data sources like weather forecasts and seasonal trends

Preprocessing

Cleaned and normalized data to ensure consistency and eliminate inaccuracies. Identified key features influencing demand for better model performance.

Model Training

Developed machine learning models using ensemble techniques to predict demand. Fine-tuned models with cross-validation for improved accuracy.

Validation

Tested the system using historical data to ensure predictive accuracy and reliability before deployment.

Deployment

Integrated the predictive analytics tool with the retailer’s ERP system, providing real-time insights for decision-making.

Monitoring & Improvement

Established a feedback loop to continuously improve model accuracy with real-time data and evolving market trends.

Results

Enhanced Inventory Accuracy

Achieved precise demand forecasts, ensuring optimal inventory levels for every product and location

Reduced Holding Costs

Minimized excess stock, leading to a 20% reduction in overall holding costs.

Improved Product Availability

Increased product availability, resulting in higher customer satisfaction and improved sales performance.

Streamlined Operations

Optimized restocking processes, saving time and resources for store managers and logistics teams.

Data-Driven Decision Making

Enabled the retailer to make informed, data-driven decisions for inventory planning and management

According to Cognitive Market Research, the global Demand Planning Solution Market size will be USD XX million in 2024 and will expand at a compound annual growth rate (CAGR) of XX% from 2024 to 2031. • The global Demand Planning Solution Market will expand significantly by XX% CAGR between 2024 to 2031. • North America held the major market of more than XX% of the global revenue with a market size of USD XX million in 2024 and will grow at a compound annual growth rate (CAGR) of XX% from 2024 to 2031. • Europe accounted for a share of over XX% of the global market size of USD XX million. • Asia Pacific held a market of around XX% of the global revenue with a market size of USD XX million in 2024 and will grow at a compound annual growth rate (CAGR) of XX% from 2024 to 2031. • Increasing Focus on Improving Efficiency Across the Supply Chain and Growing Emphasis on Customer-centricity and Personalized Experiences are the growth drivers. • By component, software segmented is expected to dominate the market. • By deployment, cloud segment is expected to dominate the market. • By end-user, manufacturing segment is expected to dominate the market. Market Dynamics of the demand planning solutions market

Key Drivers

Increasing Focus on Improving Efficiency Across the Supply Chain to Improve Adoption has increased the demand for the demand planning solutions market 

Several demand planning solutions have entered the market as a result of the steady developments in the predictive analysis landscape over the past few years. This development has significantly increased demand for demand planning solutions in recent years and is likely to have an impact on future sales. A growing number of businesses in a variety of industries are placing a greater emphasis on predicting, streamlining operations, cutting costs, and enhancing efficiency, which is driving up demand for demand planning solutions. Demand planning tools are also essential for enhancing communication and streamlining information flow throughout the supply chain. Advancements in the software as a service (SaaS) area, as well as the continual development of new demand forecasting tools, are expected to play a significant role in driving the growth of the worldwide demand planning solutions market during the assessment period. Demand for demand planning solutions is increasing as more businesses strive to increase demand forecasting, in-stock performance, revenue maximization, customer happiness, inventory minimization, and major cash flow benefits. This aspect is expected to drive the worldwide demand planning solutions market throughout the forecast period. For instance, in 2021, Kinaxis introduced a new edition of its RapidResponse supply chain planning software along with additional analytics and artificial intelligence features. The service is designed to give organizations with real-time insights into their demand planning and forecasting processes.

Growing Emphasis on Customer-centricity and Personalized Experiences has boosted the growth of the market 

As customer-centricity and personalized experiences become more essential, businesses engage in demand-planning systems to better predict and satisfy their customers' requirements. The present market is characterized by empowered customers, omnichannel shopping practices, and increasing rivalry, necessitating organizations' alignment with end-user expectations to gain a strategic edge. Organizations that integrate customer-centricity with strategic business objectives understand that putting customers first creates long-term success, increases market share, and encourages long-term loyalty. Embracing a customer-centric strategy distinguishes firms in a highly competitive market, strengthens brand recognition, attracts new consumers, and fosters customer advocacy. Remarkable customer experiences increase client retention, reduce churn rates, and optimize customer lifetime value. Demand planning systems have enabled businesses to collect user data from a variety of sources, including trends and preferences analysis, which may be used to modify product assortments or promotional activities and optimize pricing strategies accordingly. Using this information impro...

In 2022, click-and-collect sales in the United States were forecast to grow 19.4 percent compared to the previous year. After increasing by more than 100 percent during the first year of the COVID-19 pandemic, click-and-collect retail sales were expected to continue to grow in the near future, albeit at a slower rate.