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AI-Driven Forecasting Solution

AI-Driven Forecasting Solution

Forecasting is a key input for business decisions, both at the level of strategy and operations. Robust forecasting methods can provide a competitive edge to organizations and make them resilient against uncertain market dynamics. More and more organizations are increasing their adoption of AI techniques for forecasting and planning, which allows them to stay ahead of competition, maintain their market share and stay relevant.  

AI-driven forecasting allows businesses to set measurable goals, anticipate future market changes, increase visibility by detecting seasonality, learn from external variables and drivers of demand, and predict hierarchical mix of business. 

A Next-Gen Forecasting Solution 

Visionet’s AI Forecasting Platform is a complete solution for diverse industries that supports business decisioning as they compete, grow, and strive to meet customer expectations. Our solution delivers high-precision intelligent forecasting which provides automated adjustments with agility. It leverages our pre-configured integrations with external data sources which serve as signals to inform our AI about the future outlook, thereby aiding in developing precise forecasting models.

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Inventory & Demand Planning

Our solution uses the power of AI/ML to optimize and automate the inventory management process. By using historical data and real-time analysis, it helps businesses predict demand, set optimal stock levels, identify slow-moving items and avoid stockouts -improving inventory turnover, reducing costs, and increasing customer satisfaction.

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Merchandizing & Category Planning

Visionet’s AI-powered merchandising and category planning capabilities optimize retail management of product offerings, pricing, and displays. This helps in improving sales, increasing efficiency, and enhancing the customer experience by using data analysis, demand forecasting and better assortment of product categories.

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Sales Planning

Through AI-based sales planning techniques you can predict future sales and help build a sales strategy. It utilizes machine learning and statistical models to analyze data such as past sales, customer demographics, and market trends.

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Ad Spend Optimization

Ad spend optimization with AI uses data and technology to make smart decisions about allocating advertising budget for better results and ROI. Machine learning models analyze large amounts of historical data to predict the future performance of different ad channels and campaigns.

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Discount Planning & Pricing Optimization

Our intelligent discount planning and pricing optimization capabilities optimize the pricing and discounts for products and services to increase sales and revenue - helping make real-time pricing and discount decisions to increase sales and revenue.

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Manufacturing, Production & Raw Material Planning

Our solution optimizes the manufacturing, production, and material planning process to improve efficiency, reduce costs, and increase output. It uses AI to schedule production, predict equipment failure, forecast demand, optimize inventory and plan logistics.

Key Features

Utilizes Cloud-powered scalability and native services

Handles millions of transactions and years of historical data

Automates forecasting with business acumen input

Helps in memory calculation for exceptional user experience

Delivers end-to-end automated process and integrations

Enables swift pattern recognition

Gets rid of “what-if” scenarios

Visionet’s Forecasting Solution – A Catalyst for AI-Powered Forecasting

Visionet’s Forecasting Solution brings AI, decision science and app platform to enable business forecasting teams to leverage advanced AI in their forecasting process using no-code analytical apps, collaboration fabric for agile forecasting and ease of customization for unique business requirements. It delivers accurate forecasts irrespective of the category and the chosen time horizon with little AI knowledge requirement.

Download Brochure Visionet’s Forecasting Solution – A Catalyst for AI-Powered Forecasting

Effective Strategies for Addressing AI Forecast Reliability Concerns and Improving Stakeholder Acceptance

The advent of AI-powered forecasting was initially met with skepticism, with some businesses regarding it as nothing more than a gimmick to assert technological dominance over their competitors. However, as the need for organizations to optimize planning, achieve sustainable growth, and adapt to volatile market conditions continues to grow, AI-powered forecasting has become an indispensable tool.

Read More Effective Strategies for Addressing AI Forecast Reliability Concerns and Improving Stakeholder Acceptance

Leveraging External Data and Econometric Indicators for Accurate Category Forecasting Projections in Retail

The use of predictive modeling to forecast future demand and sales is becoming increasingly prevalent, and many retail companies are investing in strengthening their data pipelines. Data is the key component in building a successful category forecasting projection model.

Read More Leveraging External Data and Econometric Indicators for Accurate Category Forecasting Projections in Retail
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Effective Strategies for Addressing AI Forecast Reliability
Leveraging External Data and Econometric Indicators for Accurate Category Forecasting

CUSTOMER SUCCESS STORIES

Intelligent Category Growth Forecasting for an American Cosmetics Company - Visionet

A multinational beauty company was facing difficulties in devising scientific method for forecasting and strategic planning. Visionet developed a accurate predictive forecasting pipeline accommodative of managing all data sources and external factors, lashed with capability to handle future challenges. The resulting forecasting pipelines enabled data-driven decision-making capabilities impacting product innovation, opening new markets, and supply chain planning.

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CUSTOMER SUCCESS STORIES

From Inaccurate Forecasting to Profitable Supply Chain: The Impact of Visionet's Next-Gen AI Solution on a Home Goods Store Chain

A leading home goods store chain was facing reduced ROI of excess inventory as a result of inaccurate forecasting. This was leading to inefficiencies in their supply chain and decreased profitability. After they chose Visionet’s next-gen AI Forecasting Solution, the dollars, previously buried in the excess inventory, are now utilized in avenues of optimal return. 

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