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Optimization, forecasting, and recommendation engine

End-to-end optimization & forecasting for complex, interdependent systems

Zenith is Recursive’s technology platform for getting business use out of complex data. Often paired with our 3 other technologies, Zenith optimizes complex systems, discovers hidden relationships in your data, and generates accurate forecasts and recommendations for business-specific needs.

Features of ZenithFeatures of Zenith

Basics of Zenith

Zenith is a collection of algorithms, software components, data pipelines, and architectures for system optimization and forecasting, combining state-of-the-art techniques from academic research and technology breakthroughs.

The system ingests nearly any source of data and is hand-optimized by our engineers and data scientists for the specific problems to be solved. Unlike traditional optimization approaches that make small, incremental optimizations on individual parts of the system but fail to factor in all parts of the system, Zenith produces superior results by optimizing the entire system from end-to-end. The following is a simplified example.

Basics of Zenith diagram

Example of chemical formulation predictions

In the pharmaceuticals industry, Zenith can improve profitability and speed up time-to-market by predicting candidate chemical formulations with increased efficacy or reduced side effects. The system ingests a vast array of data sources to build a formulation database. The user selects the desired aspects of the compound to be predicted, and Zenith cycles through a process of optimizing the chemical formulations until adequate candidates are created.

Example of chemical formulation predictions

Example use cases by industry

Zenith powers use cases across a variety of industries, from system optimizations to product discovery.

Logistics

  • Route optimization for fleets of vehicles
  • Inventory optimization of stock levels and reorder points to minimize costs while preventing stockouts
  • Demand forecasting based on historical sales, market trends, and economic indicators

Agriculture

  • Crop growth modeling and yield forecasting
  • Soil nutrient analysis & fertilizer optimization
  • Optimized harvest schedules & storage planning
  • Seed & fertilizer stock level optimization and storage condition management to minimize spoilage
  • Fertilizer development based on desired outcomes

Retail

  • Sales forecasting based on historical data, market trends, and weather patterns
  • Inventory optimization of stock levels and reorder points to
  • minimize costs while preventing stockouts
  • Complex customer segmentation & analytics

Manufacturing

  • Optimize production schedules & inventory based on demand forecasts
  • Process control optimization for maximum yield & minimal defects
  • Maintenance scheduling to maximize output while minimizing downtime
  • Supply chain optimization, routing, and risk mitigation

Pharmaceutics

  • Drug target identification via biomarker analysis & pathway mapping
  • Virtual compound screening and optimization of leads
  • Patient stratification and trial simulation for clinical trial design
  • Adverse effect modeling & efficacy forecasting of drug candidates

Food & Beverage

  • Product development to match desired taste, cost, and shelf-life profiles
  • Chemical additives & preservatives development
  • Demand-based inventory distribution, production and reorder optimization
  • Contamination detection, recall management, and supplier risk management

Exploratory consultation

Contact us now to explore how our solution architects and engineers can translate your domain expertise into AI-augmented business models that optimize your value chain and propel your business forward.

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