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Benefit:
The optimal menu configuration.
Purpose:
Secure and automate the creation of the optimal menu from metric-based foodservice objectives (labor cost, health, food cost, novelty) and cohort preference data.
Performance:
100% accurate to available constraint data. 3 months training set requirement.
Composition:
Customized Multilevel Multiobjective Evolutionary ML Model.
Benefit:
Automated and accurate product forecasting.
Purpose:
Secure an accurate production requirement for products as determined by atomized consumer cohort preference and propensity to consume.
Performance:
97% predictive accuracy.
Composition:
Deep Learning Neural Network and High-Dimensional Feature Selection. Boosted regression tree models.
Benefit:
Know who values most what you value most. Optimized consumer ROI.
Purpose:
Consumer valuation. Score to determine absolute and relative consumer value to producers and operators. Nudge incentives.
Performance:
100% all cohort real time valuation.
Composition:
Weighted and tracked events in transactions, order behavior, engagement and promotional response. Clustering algorithm and ML unsupervised extraction, linear and non-linear combinations, weights optimization analysis.
Benefit:
Full metricization and operational control of food services.
Purpose:
Benchmark and define the key food service objectives and metrics for success and determine optimal configuration of foS platform.
Performance:
100% real-time visibility on all desired food service objectives and supporting metrics.
Composition:
Genetic and Optimization Algorithms. Configuration model. Multi-data diagnostic repository.
Benefit:
Informed food decision support based on your food habits, patterns and consumption needs.
Purpose:
Delivering “You Menu.” Ensure filtering all menus and specific recommendations are informed by your prescribed goals and documented habits.
Performance:
99.9% accuracy.
Composition:
Multi-source multi-variate aggregation, goals completion analysis.
Benefit:
Automation of data capture of all recipe, supply and ingredient data.
Purpose:
Secure reliable, accurate and current food data, to the atomized level without manual intervention (and inaccuracy).
Performance:
100% accuracy.
Composition:
NLP, Neural Networks, Big Query.
Benefit:
Dynamic, non-tiered and automated rewards system tied to optimal consumption behavior.
Purpose:
Rewards that support specific food service goals and cater to unique patterns and interests of individual consumers.
Performance:
100% accuracy.
Composition:
Rewards trigger automation, live data monitoring and reporting.
Benefit:
Automation of full production needs list, purchase order and inventory reconciliation.
Purpose:
Secure dramatic food and labor cost savings in the food purchase cycle.
Performance:
100% accuracy.
Composition:
Reduction in food cost figure.
Benefit:
Decision support on what to eat here, now.
Purpose:
Consumer recommendation. Automatic cart construction. Menu redundancy.
Performance:
100% optimized accuracy.
Composition:
Machine global optima and rank in customer preference search space. Application of price, food features, Consumer Nutrait, Product Nutrait and FACs.
Benefit:
Open data architecture of all product and consumer profile data to any order interface: Kiosk, PoS, App, Web, Wearable...
Purpose:
Always know the consumer whatever the ordering device. Dramatically improve ease of use and personalization. Dynamic pricing, inventory and promotional change.
Performance:
100% accurate, current and consistent product and consumer profile.
Composition:
Multi-platform distributed technology interface that enables purchase, ordering, self-checkout and pre-ordering with a universal ID.
Benefit:
‘See and read’ food product to get what you really need (and want).
Purpose:
Dramatically improve consumer food product selection. Dramatically improve producer product decisions, including menu and production planning.
Performance:
99.9% accuracy.
Composition:
Multivariate data including nutrient, chemical, microbiotic, multi-faceted consumer interface detail, QR codification and reading. ML-based calculation of multivariate distance.
Benefit:
Precise consumer recommendations and product item ranking that maximizes spend.
Purpose:
Optimize cart value and upsell potential.
Performance:
11% Average Cart Uplift.
Composition:
ML Basket Analysis, Big Query.
Benefit:
Product optimization, prioritization and rationalization, to consumer need.
Purpose:
Matching of cohort Nutraits to product and recipe databases to secure ranked universe of best fit.
Performance:
100% objective cohort matching.
Composition:
Morsum Recipe DB. Consumer Nutrait. Product Nutrait. VAE Neural Network, Neural Machine Translation NLP.
Benefit:
Nutritional service management in hospital and at home.
Purpose:
Leverage and synchronize food service and production data to direct optimal recovery path.
Performance:
100% accuracy.
Composition:
Conditions and allergies extraction, NLP neural networks, HL7 FHIR integration.
Benefit:
Real-time, product and service aligned feedback platform from the highest authority in your business - Customers.
Purpose:
Deliver unambiguous, immediate and actionable feedback on the food service value proposition. Know more now, waste less on wishful thinking.
Performance:
100% accuracy.
Composition:
Overall and specific feedback aggregation, live reporting.
Benefit:
Effective segmentation and multiplatform message delivery.
Purpose:
Optimize targeting, communication mix, frequency, engagement and response. Ensure all food service value is understood.
Performance:
100% accuracy.
Composition:
Live segments analysis and extraction, big data architecture for low latency.
Benefit:
Product data enrichment. Automation of all applied data attributes, categories and markers to food products.
Purpose:
Guarantee the efficacy, compliance and accuracy for all consumption-production matching, including healthcare dependencies.
Performance:
99.9% accuracy.
Composition:
Deep learning and Rule-based NLP. Multi-thread, multi-input processing.
Benefit:
Accurate food data, data attributes and calculations.
Purpose:
Ensure that whatever you choose to eat correctly informs you and your food preference profile and goals.
Performance:
100% accuracy with minimal latency.
Composition:
Signum, Big Query, Google Cloud.
Benefit:
Production order delivering transparency in labor costs, performance and best practice.
Purpose:
Secure optimal production process that allows for ingredient task aggregation, consistent product quality, productive labor activity and reduction in requirement for labor training to task.
Performance:
100% accuracy in workflow definition and optimization.
Composition:
Live messaging architecture for task events constructed in Worklfower NLP.
Benefit:
Automation of all administration and calculation in production planning.
Purpose:
Dramatically improve the accuracy and optimization of production plans from aggregation of individual and multiple recipe items to workflows in a production period.
Performance:
99.9% accuracy.
Composition:
NLP, Morsum NLRR (Neuro-Linguistic Recipe Reader), Livepush.