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What is Garvis?

Garvis is set to transform the landscape of Artificial Intelligence in the realms of forecasting and demand planning by creating a system that is easy to use, widely accessible, and fully transparent, while also allowing planners to retain control throughout the entire process. As the pioneering bionic demand planning solution, we enable a significant evolution in man-machine collaboration. Our methodology integrates extensive data accessibility with a transparent, user-trainable AI, empowering planners to craft the most effective strategies for anticipating future demands. In light of today’s unpredictable market conditions, there is an urgent requirement for a revolutionary demand planning framework that enables planners to swiftly adapt to changes with accuracy and confidence. Discover how you can gain actionable insights into demand forecasting and benefit from a streamlined one-day implementation that can optimize your operations. Garvis elevates your Excel reports by incorporating user-trainable AI and includes an integrated data wrangler that proficiently organizes data into a clear historical narrative, covering sales and master data, ensuring you can begin the process in as little as one hour. Furthermore, this groundbreaking system not only simplifies the planning experience but also fosters proactive modifications based on ongoing real-time data evaluations, thus enhancing overall effectiveness. Overall, Garvis empowers teams to stay ahead of market trends and make informed decisions with remarkable agility.

What is Daybreak?

Daybreak is an AI labor platform for enterprise planning that helps organizations turn routine planning work into governed, measurable agent workflows. The platform is designed for teams that need better demand planning outcomes without adding another layer of traditional planning software. Daybreak’s agent, Dawn, owns demand planning work by reading signals, generating predictions, applying judgment, submitting decisions, and escalating exceptions that require human input. Routine forecasts can be submitted autonomously under policy, while high-impact changes, large forecast shifts, or concentrated risk areas can be held for planner review. When a planner accepts or overrides Dawn’s recommendation, Daybreak captures the decision, forecast change, reasoning, confidence, and business context. This allows human judgment to become a reusable asset rather than a one-time edit buried in a spreadsheet. Every decision is scored against outcomes so teams can learn which agent decisions added value, which human overrides improved results, and which choices created avoidable costs. Daybreak helps surface the financial impact of planning decisions by connecting overrides to write-downs, expedites, stockouts, excess inventory, trapped working capital, and margin leakage. Its AI labor model shifts repeatable planning tasks to agents while helping people focus their judgment on the decisions that move the P&L. The platform helps companies scale the instincts of top planners across every SKU, site, account, and cycle while improving over time. By combining demand planning agents, autonomous decisioning, human governance, override analysis, outcome scoring, P&L visibility, and continuous learning, Daybreak helps enterprise planning teams make value repeatable.

Media

Media

Integrations Supported

APERIO DataWise
Microsoft Excel

Integrations Supported

APERIO DataWise
Microsoft Excel

API Availability

Has API

API Availability

Has API

Pricing Information

€1500 per month
Free Version
Free Trial Offered?

Pricing Information

Pricing not provided
Free Version
Free Trial Offered?

Supported Platforms

SaaS
Android
iPhone
iPad
Windows
Mac
On-Prem
Chromebook
Linux

Supported Platforms

SaaS
Android
iPhone
iPad
Windows
Mac
On-Prem
Chromebook
Linux

Customer Service / Support

Standard Support
24 Hour Support
Web-Based Support

Customer Service / Support

Standard Support
24 Hour Support
Web-Based Support

Training Options

Documentation Hub
Webinars
Online Training
On-Site Training

Training Options

Documentation Hub
Webinars
Online Training
On-Site Training

Company Facts

Organization Name

Garvis

Company Location

Belgium

Company Website

www.garvis.ai/

Company Facts

Organization Name

Daybreak AI

Date Founded

2016

Company Location

United States

Company Website

daybreak.ai

Categories and Features

Business Process Management

Access Controls / Permissions
Alerts / Notifications
Business Process Automation
Business Rules Management
Collaboration
Process Change Tracking
Process Mapping
Process Modeling & Design
Visual Workflow Management

Demand Planning

Capacity Planning
Data Visualization
Historical Reporting
Inventory Optimization
Planned vs Actual Tracking
Product Introduction Planning
Promotions Management
Replenishment Management
Sales Forecasting
Supply Forecasting

MRP

Bills of Material
Compliance Management
Document Management
Forecasting
Formula Management
Inventory Management
Order Management
Process Manufacturing
Product Configurator
Production Scheduling
Quality Control
Quality Management
Quote Management
Reporting/Analytics
Resource Management
Safety Management
Supplier Management
Supply Chain Management

Retail Management

CRM
Commission Management
Email Marketing
Employee Management
Loyalty Program
Mail Order
Merchandise Management
Multi-Location
Order Management
Purchase Order Management
Reporting/Analytics
Returns Management
eCommerce

Sales Force Automation

Call Management
Campaign Management
Channel Management
Commission Management
Contact Management
Contract Management
Customer Database
Email Marketing
Field Sales Management
Lead Management
Opportunity Management
Performance Metrics
Proposal Generation
Referral Tracking
Sales Forecasting
Territory Management

Supply Chain Management

Demand Planning
Electronic Data Interchange
Import / Export Management
Inventory Management
Order Fulfillment
Order Management
Sales & Operations Planning
Shipping Management
Supplier Management
Transportation Management
Warehouse Management

Categories and Features

Demand Planning

Capacity Planning
Data Visualization
Historical Reporting
Inventory Optimization
Planned vs Actual Tracking
Product Introduction Planning
Promotions Management
Replenishment Management
Sales Forecasting
Supply Forecasting

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