AI-powered Forecasting Solutions
Achieve competitive edge in forecasting and planning using predictive intelligence.
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80%
Reduce operational costs
30%
Reduce time-to-market
50%
Increase operational efficiency
85%
Reduced job execution time
Overview
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 Al techniques for forecasting and planning, which allows them to stay ahead of competition, maintain their market share and stay relevant.
Al-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 Al 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 Al about the future outlook, thereby aiding in developing precise forecasting models.
Inventory & Demand Planning
Our solution uses the power of Al/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.
Merchandizing & Category
Planning
Visionet’s Al-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.
Sales Planning
Through Al-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.
Ad Spend Optimization
Ad spend optimization with Al 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.
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.
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 Al 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
Case Studies
A leading biopharma company strengthened one of the industry’s largest specialty therapy support programs by deploying Navigator360°, a cloud-native insights and workflow platform built on AWS. The solution unified patient data, improved coordination across access channels, and helped the client accelerate therapy starts for more than 620,000 patients.
A global life sciences organization transformed how 300+ researchers and scientists work by deploying OneDoor, a GenAI-powered digital assistant and unified entry point built on AWS. The platform streamlined access to tools, knowledge, and reusable assets across 1,300 active research programs and 280 disease areas.
A global pharmaceutical leader modernized its clinical trials by deploying Sensor360°, a unified remote patient monitoring platform built on AWS. The solution streamlined multi-sensor data, improved real-time visibility into patient health, and cut operational overhead across Phase II trial sites worldwide.
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