Overview

Auto lending is facing a time of transformation. Many lenders struggle to gain a competitive edge—they need to quickly grow their portfolio and improve the customer experience, and at the same time balance risk and control operating expenses. Market disruptors are moving quickly, leveraging technology to provide polished and high-value customer experiences to lure business away from more traditional lenders. Given these market dynamics, the stakes have never been higher for lenders to embrace modernization.

Overview

Ever wonder how three energy and utility innovators are transforming their operations?

Energy and utility companies have turned to the next generation of decision management tools and open technologies to “turn on the lights” in their businesses – whether it’s slashing time-to-market for new services, or reducing the carbon footprint.
 
This collection of three case studies highlights how three very different organizations – Shell, SolarCity and WindFarm Designs – are using these advanced capabilities to discover new insights across their lines of business, and increase customer-centricity, efficiency and bottom line results. Download our document and learn how:

• Shell’s ability to solve the most complex problems in their business is helping them build the process control platform of the future.
• SolarCity is continually uncovering deeper insights into challenges such as battery charge/discharge optimization and excess energy deployment.
• WindFarm Designs expects to reduce CO2 emissions by 20–50 million metric tons globally every year, while reducing time to develop layouts by 90% by completely automating manual processes.

Overview

Client: Markedslabben, developers of WindFarmDesigns, an algorithm designed to optimize wind farm layouts

Challenge: Solve the decades-long problem of optimizing the layout of turbine placement within a wind farm in order to maximize energy yield while respecting turbine load constraints.

Solution: FICO® Xpress Optimization

Results: WindFarmDesigns will improve energy yield, increase profitability for wind farms and reduce CO2 emissions.

Overview

As a subsidiary of the world’s largest food company, Nestlé USA is laser-focused on doing more with fewer resources and adopting highly efficient technologies and processes, including machine learning and prescriptive analytics. With 64 brands consisting of numerous products in each brand, maximizing payload and minimizing transportation costs is an extremely complex problem – particularly when you factor in demand forecasts and current supply levels.

Nestlé USA turned to FICO® Xpress Optimization Suite, a key offering within FICO® Decision Management Suite, to calculate the very best shipment combinations from millions of possibilities – leading to significant transportation cost savings over the past seven years. They’ve also used Xpress to optimize redeployment of inventory from one distribution center to another – and even have developed an application to help their largest customers manage payloads.

Download Nestlé USA’s story now, and learn more about how Xpress is helping them change their entire supply chain paradigm.

Overview

The collision of new data sources, technology and analytics provides energy companies like SolarCity with amazing opportunities to drive stronger customer engagement while improving energy efficiency and usage. To help build the grid of the future, SolarCity selected FICO Optimization to help the business extract the best possible actions from a sea of data and myriad constraints and competing priorities.

Download our case study now and learn how SolarCity is using FICO optimization to:

• Evaluate opportunities to save commercial customers on their energy bills by optimally managing their demand charges
• Manage customer energy profiles to optimize charge and discharge profiles for energy storage systems
• Optimize distributed energy resources in multi-use application frameworks that benefit the grid and customers
• Analyze potential revenue streams for customers by selling unused stored energy into wholesale electricity markets
• Determine optimal ways to reduce stress on the electric grid by potentially reducing system load

Overview

Production schedules are key enablers of success for businesses across the manufacturing industry. For many companies in the continuous process industries (oil and gas exploration and processing, petrochemicals, mining, minerals and metals), however, production schedules are created through a surprisingly low-tech approach: Humans working manually with spreadsheets.

In this case study, learn how Honeywell Process Solutions used FICO optimization as the foundation of an automated, cutting edge scheduling solution to market and sell to process manufacturers that can lead to millions in dollars of savings. Use cases include crude-oil marine and pipeline scheduling, refinery crude oil scheduling and optimization, process unit scheduling, blend scheduling and optimization, and product distribution to terminals.

Overview

Leading businesses have aggressively adopted prescriptive analytics to assess the different outcomes of potential decisions and identify the best one(s) for handling a future scenario. As companies progress their use of advanced analytics, they derive exponentially more value from their data and decisions. These five case studies highlight how five banks are using FICO optimization to boost portfolio profits by 26% or more; increase approved transactions by $100+ million; and even generate 6:1 ROI in just six months.

Overview

As one of the world’s leading global oil companies, Shell has been applying advanced process control technology to its plants around the world since the 1970s. With dramatic increases in optimization capabilities over the past decade, Shell sought a next-generation solution to help maximize each plant’s economic operating benefits. They turned to FICO® Xpress Optimization Suite to help model complex processes and provide robust optimization algorithms to solve large-scale control problems.

Overview

For Toyota Financial Services (TFS), which provides auto financing to more than four million US customers, debt collection historically had been an ongoing challenge. Heavy-handed approaches meant that people could suffer credit score damage or lose their cars entirely; on the flip side, uncollected debt would hurt the bottom line.

TFS turned to a collections treatment solution powered by FICO® Xpress Optimization Suite and FICO® Model Builder to infuse statistical and predictive modeling, forecasting, advanced segmentation and optimization into a single framework to simulate multiple scenarios and deploy the optimal strategy into production. The bottom line was quick ROI that kept thousands of customers in their cars and allowed TFS to grow their portfolio without adding collections headcount.

Overview

When you’re Southwest Airlines – the largest domestic carrier in the US and profitable for 40+ straight years – staying ahead of the rest of the industry means consistently finding new ways to reduce costs, improve performance and customer engagement, and keep crews and other staff happy. What’s one of their key ingredients for success? FICO Optimization, which helps them solve their most challenging, complex problems.

Whether getting the best price on the 1.9 billion gallons of fuel, improving flight team quality of life through intelligent crew scheduling, or even reducing delays due to inclement weather, Southwest counts on FICO Xpress Optimization – and now, FICO Optimization Modeler – to make the best decisions every time, faster than ever, so that they can safely and profitably get millions of customers to their destinations. Download our new case study to learn the many ways Southwest keeps resetting the global standard in the airline industry.