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.
diamela2021-02-26T21:45:50+00:00
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. Generate metrics using correlation and PCA to cross-validate predictions
- 3. Analyze and generate real-time recommendations for hundreds of stocks
Company: Large US hedge fund
Industry: Finance
diamela2021-03-02T22:31:45+00:00
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
diamela2021-03-02T21:04:30+00:00
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
diamela2021-02-26T22:40:31+00:00
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
diamela2021-02-24T22:54:24+00:00
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
diamela2021-02-24T18:25:09+00:00
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
diamela2021-02-26T22:38:27+00:00
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
diamela2021-02-24T19:00:14+00:00
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
diamela2021-02-25T20:59:33+00:00
Challenge: Changing Customer Shipment Patterns Impacting Network Efficiency
Results: 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
diamela2021-02-24T22:34:06+00:00
Challenge: Productivity bottleneck due to complex demand fulfillment process
Results: Productivity improved 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
diamela2021-02-24T16:44:31+00:00
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
diamela2021-02-26T22:36:20+00:00
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
diamela2021-02-24T16:10:25+00:00
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
diamela2021-02-24T16:14:20+00:00
Challenge: Evolving customer patterns signifcantly 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
diamela2021-02-24T16:04:48+00:00
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
