Logistics
Predictive market insight for
logistics forecasting and planning
Market volatility is creating significant challenges for CFOs, FP&A, and planning professionals
Prevedere's global data, predictive modeling platform and economic intelligence empowers logistics companies with valuable foresight into demand forecasting, risk mitigation, cost optimization, and customer insights. By leveraging this intelligence, logistics companies can make data-driven decisions, enhance operational efficiency, and gain a competitive edge in the dynamic and complex logistics industry.
Better business outcomes
Finance
Reduce risk, drive growth with better financial modeling.
Marketing
Drive price and promotion with better demand models.
Operations
Spot cost and supply-chain risks before they materialize.
Strategy
Stay ahead of changing markets to react faster than your rivals.
Sales
Optimize sales performance with market-validated forecasts.
Top 3 use cases in Logistics
1
Demand Forecasting
By identifying its leading external indicators and creating econometric models, Prevedere can help a logistics company to accurately forecast demand for its services. This enables the company to optimize its operations, plan for capacity requirements, and ensure efficient allocation of resources. Accurate demand forecasting minimizes the risk of overstocking or understocking, reduces costs, and improves customer satisfaction.
2
Risk Mitigation
Prevedere's economic intelligence helps logistics companies anticipate and prepare for potential risks and disruptions in the supply chain. By analyzing economic indicators and predicting future market conditions, logistics companies can identify potential risks such as inflation, currency fluctuations, trade policies, or geopolitical events. Armed with this information, companies can develop contingency plans, diversify their supplier base, or adjust pricing strategies to mitigate risks and maintain business continuity.
3
Cost Optimization
Prevedere provides insights into factors that impact costs, such as fuel prices, labor costs, and inflation rates. By identifying these variables and forecasting their future trends, logistics companies can optimize their cost structures. This allows them to make informed decisions regarding pricing, procurement, inventory management, and resource allocation, leading to improved profitability and competitive advantage.
The Prevedere
Advanced Predictive
Planning platform
Prevedere APP combines extenal data and predictive AI modeling to deliver more detailed, accurate and intelligent planning. It gives CFOs, FP&A, supply-chain and category-management leaders the insights they need to make the right decision, fast.
Prevedere includes its own global indicators database and an Advanced Predictive Planning (APP) platform. Our data scientists and economists work with you to create market-leading short-, medium- and long-term prediction models.
APP identifies unique external drivers and leading indicators for each category in which your brands operate. This enables increased validation and accuracy in predicting both customer demand and total market demand. That’s why Kraft-Heinz uses Prevedere’s total category economic-baseline forecasts as a starting point for all planning cycles, whether monthly, quarterly or annually.
Improve overall planning accuracy
Identify the true leading indicators for your lines-of-business
Use advanced AI to build the best-fit models for your business
Increase the predictive accuracy of your planning by up to 20%
Monitor prediction data to detect market shifts before they happen
Prevedere forecasts layer seamlessly with existing planning platforms
More valuable planning outputs
12-18 month rolling forecast:
improve short-term planning for individual customer demand or the total market demand. Blending internal and external monthly forecasts for greater accuracy and agility.
2-5 year forecast:
quantify the impact of key economic and demographic trends on your business, so you can validate investment and working-capital decisions based long-range projections.
Driver-mix analysis:
logistics customers use this to blend internal drivers (e.g., price, promotion, and distribution) with external drivers, to generate more holistic forecasts. This is similar to marketing mix modeling.
Download the FREE Prevedere guide
Find out how brands just like yours have used Advanced Predictive Planning to grow their business.
Explore Leading Indicators in Logistics
Download the Innovation Guide to see how additional external planning insights can improve business performance.
Customer showcase: Kraft Heinz
Kraft Heinz uses APP to improve its business planning, cut waste, reduce overheads and boost profits, even during market volatility.
Our customer stories
We help Kraft Heinz forecast each of their major food platforms and identify which economic drivers impact their business.
We help Cooper Tire (Good Year) to forecast demand for their brands/products to optimize their supply chain needs.
We help Dollar General understand their target market drivers, identify growth opportunities, and deliver forecasts for their strategic planners.
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