Use Cases:

How Teranalytics Helped Companies Like Yours
Solve Daunting Business Challenges

Teranalytics builds custom AI-driven models to address a wide spectrum of business challenges. Explore customer use cases spanning Dynamic Forecasting, Process Optimization, Network Optimization, Medical Optimization, and Financial Applications.


Challenge: Production data latency negatively impacts profitability of fast moving SKU

Results: Productivity improved by 8% generating significant cost savings and internal efficiencies

  • 1. Real-time information enables proactive actions
  • 2. Minimal line downtime and waste via optimized scheduling
  • 3. Engineers redeployed from reporting to line management

Company: Regional Beverage Bottling Company

Industry: Consumer Package Goods

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Challenge: Perform reliable 10 to 20-year horizon industry trend projections and drive strategic long term decisions

Results: Data-driven causal model including industry and society mega trends generates projections of global beverage consumption

  • 1. Clear driver analysis and impact on multiple brands
  • 2. Stress-tested the business model, including extreme disruptions
  • 3. Inform long term company direction and investment strategy

Company: International Drink & Brewing Company

Industry: Consumer Package Goods

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Challenge: Clinical counseling through an IVF procedure lacks objective outcome projections, stressing potential parents

Results: Evolving AI tool to estimate probabilities of live birth as function of patients parameters and history

  • 1. Data-driven tool predicts outcomes throughout patients' full IVF cycle
  • 2. Data aggregation with multiple clinics Improves confidence intervals
  • 3. Groundbreaking work shared globally to support further IVF research

Company: National Medical Clinic Organization

Industry: Healthcare

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Challenge: Over-estimated first/last mile distribution costs reduce profitability

Results: More than 30% immediate cost savings identified across the entire US

  • 1. Optimal routes suggest new and fairer pricing model
  • 2. Immediate increase in profitability
  • 3. Real-time optimization allows network-wide proactive adjustments

Company: National Distribution Company

Industry: Logistics

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Challenge: How to allocate marketing dollars for maximum ROI

Results: AI-based driver analysis with quantified impacts on brand perception

  • 1. AI models ingesting both survey and transactional customer data
  • 2. Quantified impact of drivers lead to tactical recommendations
  • 3. 360-degree customer analysis for personalized marketing campaigns

Company: Consumer Marketing Consulting Firm

Industry: Market Research

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Challenge: Forecast production for 6 international markets using 2,000 internal and external parameters

Results: Forecast accuracy exceeds 90% for 1 and 3 year horizons and adapts to market data

  • 1. Identified top business drivers that could be controlled
  • 2. Significantly reduced forecasting resources required
  • 3. Increased investment decision confidence

Company: International Drink & Brewing Company

Industry: Consumer Package Goods

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Challenge: Investment in new molecules remains high risk due to unknown probability of success and duration of clinical trials

Results: Rapid, Accurate, data-driven estimates of clinical trials probability of success

  • 1. Scenario analysis reduced from 8 hours to 3 minutes
  • 2. Granular statistics based on user selection anticipates market shifts
  • 3. Extensive sensitivity analyses strengthens due dilligence process

Company: Multinational Biopharmaceutical Company

Industry: Pharmaceuticals

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Challenge: Changing Customer Shipment Patterns Impacting Network Efficiency

Results: Significant projected reduction in transportation miles following relocation recommendations

  • 1. AI engine regularly assesses entire network for routes adjustments
  • 2. Center of Gravity analysis adapted to new market conditions
  • 3. Predict outcomes via realistic customer constraints, contract terms

Company: Global Logistics Powerhouse

Industry: Logistics

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Challenge: Productivity bottleneck due to complex demand fulfillment process

Results: Optimized cargo loading improved transportation efficiency by 93% with 100% optimality

  • 1. Shipping solution always optimally satisfies customer constraints
  • 2. Risk Mitigation: process internalized to company
  • 3. Reduced weekly cycle time from 8 hrs to 30 minutes

Company: Global B2B Equipment Provider

Industry: Manufacturing

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Challenge: Severe customer churn due to commoditization and market disruption

Results: Projected 15% customer churn reduction with targeted marketing campaigns

  • 1. Accurate prediction of customers at risk of churn
  • 2. Identification of key drivers leading to churn by customer clusters
  • 3. Customer-specific risks identified for resolution and marketing action

Company: Global Internet Network and Security

Industry: Internet Security

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Challenge: Costly, sub-optimal logistics scheduling due to varying customer behaviors

Results: $1M annual savings while improving customer service and market adaptability

  • 1. Proactively adapt to fluctuating customer demand
  • 2. Optimal use of own drivers; minimal use of costly alternatives
  • 3. Seamlessly balance/reposition transport legs on demand

Company: Global Logistics Powerhouse

Industry: Logistics

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Challenge: Early disease detection could save millions in healthcare costs

Results: AI tool provides reliable predictions of disease onset

  • 1. Data fusion increases model accuracy, sensitivity, and specificity
  • 2. Probability of medical condition adjusted after each medical test
  • 3. Successful proof of concept for major research project

Company: Multinational Biopharmaceutical Company

Industry: Pharmaceuticals

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Challenge: Evolving customer patterns significantly increased distribution costs

Results: 2% Reduction in distribution costs saves millions of dollars annually

  • 1. Dynamic optimization of network for continuous benchmarking
  • 2. Impact quantification of relocation feeds into C-level decisions
  • 3. Sensitivity analyses increase confidence in recommended solutions

Company: Global Logistics Powerhouse

Industry: Logistics

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Challenge: Inaccurate forecasting impacting profitability and inventory planning

Results: Reduced stock inventory by 5% and provided 95% accurate forecasts at 3-year

  • 1. Near-just in time inventory control slashes carrying costs
  • 2. Competitive advantage: more responsive organization
  • 3. Real-time insights for proactive decision-making

Company: Global Automotive Components Supplier

Industry: Manufacturing

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Challenge: Identify peer stocks for volatility analysis to drive investment strategy

Results: Real-time equities clustering predicts individual stock performance based on market characteristics

  • 1. Maps correlation-based clustering to PCA-based clustering
  • 2. Metrics-driven cross-validation of cluster predictions
  • 3. Generate real-time recommendations for hundreds of stocks

Company: Large US hedge fund

Industry: Finance

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