Development Roadmap
This page outlines our product development plans for Eaternity Forecast. Features are grouped by status, and timelines for planned items are subject to change based on customer feedback and technical priorities.
Available Features
These capabilities are currently available in Eaternity Forecast.
Core Prediction Engine
- Transformer-based neural network for demand forecasting
- Confidence intervals showing prediction uncertainty
- 7-day and 14-day forecasts for advance planning
- Weather integration affecting predictions automatically
- Manual overrides for known events and adjustments
Integrations
- Necta ERP integration for seamless data sync
- Custom REST API for other systems
- Webhook notifications for real-time updates
Dashboard and Reporting
- Daily prediction view with item-level forecasts
- Accuracy tracking and variance analysis
- Historical performance metrics
For complete details on available features, see the Features documentation.
Planned Features
These features are in development or planned for future releases.
Orbisk Integration
Description: Integration with Orbisk visual food waste tracking system
Orbisk Overview:
- Camera-based food waste measurement
- Automatic portion and waste recognition
- Real-time waste tracking at plate and prep level
Integration Benefits:
- Actual waste measurement vs estimated from over-preparation
- Plate waste insights (guests leaving food on plates)
- Prep waste tracking (spoilage, over-portioning)
- Feedback loop for portion size optimization
Planned Features:
-
Automatic Waste Data Import:
- Orbisk waste data flows to Forecast
- Item-level waste quantities tracked
- Waste categorized by type (plate, prep, spoilage)
-
Enhanced Prediction Accuracy:
- Model learns from actual waste patterns
- Adjust predictions to minimize waste type causing problems
-
Waste Reduction Dashboard:
- Combined Forecast predictions + Orbisk measurements
- Identify systematic over-preparation patterns
Attention Visualization
Description: Explain what the neural network focuses on for predictions
Purpose: Make AI decisions more transparent and understandable
Features:
-
Historical Day Highlighting:
- Show which previous days model pays most attention to
- Example: "For this Wednesday, model focused on last 4 Wednesdays"
-
Factor Importance:
- Display which factors drive each prediction
- Example: "Temperature (45%), Day of week (30%), Recent trend (25%)"
-
Pattern Explanation:
- Natural language explanation of prediction logic
Multi-Location POS System Integration
Description: Support for restaurant chains with centralized POS systems
Target Systems:
- Toast POS
- Square for Restaurants
- Lightspeed Restaurant
- Clover
Features:
-
Pre-Built Connectors:
- One-click integration with major POS systems
- Automatic sales data sync
- Menu item mapping assistance
-
Multi-Location Management:
- Single dashboard for all locations
- Location-specific predictions
- Shared pattern learning across locations
-
Chain-Wide Insights:
- Compare performance across locations
- Identify location-specific patterns
- Consolidated reporting for multi-unit operators
Recipe-Based Ingredient Forecasting
Description: Predict ingredient requirements directly, not just dish quantities
How It Works:
-
Recipe Integration:
- Import recipes from Necta or manual entry
- Map dishes to ingredient lists
- Track ingredient quantities per portion
-
Ingredient-Level Predictions:
- Predict demand for each ingredient
- Account for multiple dishes using same ingredient
- Optimize bulk ordering quantities
-
Supplier Order Automation:
- Generate suggested purchase orders
- Minimize ingredient waste (not just prepared food)
- Account for ingredient shelf life
Mobile Application
Description: Native iOS and Android apps for on-the-go access
Features:
-
Quick Daily Review:
- Morning notification with today's forecast
- One-tap accuracy review for yesterday
- Swipe to see weekly outlook
-
Override on Mobile:
- Quick override for special events
- Voice note for variance explanations
-
Kitchen Floor Use:
- Real-time sales tracking during service
- Compare to prediction as day progresses
- Alert when approaching stock-out
-
Offline Mode:
- Download predictions for offline access
- Sync when back online
Slack and Teams Integration
Description: Forecast notifications in team communication tools
Slack Features:
- Daily forecast posted to channel
- Alert for large variances
- Quick commands:
/forecast tomorrow,/forecast accuracy - Interactive buttons for overrides
Microsoft Teams Features:
- Bot for forecast queries
- Adaptive cards for rich formatting
- Integration with Shifts (staff scheduling)
Causal Inference Engine
Description: Answer "what-if" questions about menu changes
Capabilities:
-
Menu Change Simulation:
- "If we remove Caesar Salad, what happens to related items?"
- "If we price Pasta at €16 instead of €14.50, expected volume?"
-
Promotion Impact Prediction:
- "What if we run 20% off promotion on Grilled Salmon?"
- Expected cannibalization of other items
- Net revenue impact estimation
-
Operational Scenario Planning:
- "What if we close Mondays?"
- "What if we add Sunday brunch service?"
Future Vision
These features represent our longer-term product vision.
Dynamic Pricing Recommendations
Optimize pricing based on predicted demand:
- Surge pricing for high-demand items
- Discount recommendations for low-demand items
- Revenue optimization algorithms
Sustainability Metrics
Environmental impact tracking and recommendations:
- CO₂e avoided per menu item
- Water footprint reduction
- Integration with Eaternity Score/Gastro for comprehensive sustainability
Voice Interface
Voice commands for hands-free operation:
- Kitchen floor queries during service
- Quick override while prepping
- Accessibility for users
Inventory Management Integration
Full integration with inventory systems (MarketMan, BlueCart, Optimum Control):
- Automatic inventory deduction based on predictions
- Reorder point automation
- Waste tracking integration
Feature Request Process
How to Request Features
Customers:
- Navigate to Dashboard → Feature Requests
- Submit idea with description and use case
- Vote on other customers' requests
- Track status of your request
Email: Send to forecast-feedback@eaternity.org
Include:
- Feature description
- Your use case
- Expected benefit
- Priority (nice-to-have vs critical)
Prioritization Criteria
We prioritize features based on:
- User votes (customer feedback and voting)
- Impact (number of users benefiting)
- Feasibility (technical complexity)
- Strategic alignment (product vision)
- Data availability (requirements for implementation)
Request Status
Statuses:
- Submitted — Under review
- Planned — Accepted, on roadmap
- In Progress — Actively developing
- Beta — Testing with select users
- Shipped — Available to all
Customer Feedback
How Customers Shape the Roadmap
Your Impact:
- Regular feedback calls directly influence priorities
- Variance reports help identify improvement areas
- Feature requests from customers get priority consideration
- Real-world use cases drive development
Customer Advisory Board
- Quarterly video calls with Eaternity product team
- Review roadmap and provide strategic input
- Early access to beta features
How to Join: Contact forecast@eaternity.org
Staying Updated
Release Notes
Published after each release:
- New features and improvements
- Bug fixes
- Performance enhancements
- Breaking changes (if any)
Where to Find:
- Dashboard → What's New
- Email notifications (opt-in)
Roadmap Updates
- Roadmap updated quarterly
- Customers notified of changes
- Opportunity to provide input
Subscribe to Updates: Email forecast@eaternity.org with subject "Subscribe to Roadmap Updates"
See Also
- Current Features — All available capabilities
- Quick Setup — Get started with Forecast
- Implementation Guide — Best practices for using Forecast
- API Reference — Technical integration documentation