Supply Chain AI Agent

Enhance Supply Chain Efficiency and Resilience

Optimize Operations, Predict Demand, and Increase Resilience

Partner with Top Global Leaders

Establish Agile and Resilient Supply Chains

MoBagel’s Supply Chain AI Agent delivers flexible, intelligent, data-driven insights and process automation, enabling businesses to respond swiftly to shifting market demands and maintain a competitive edge in the dynamic supply chain environment.

SAP.iO Startup Program
Driving Supply Chain Sustainability

By integrating generative AI and predictive AI, we collaborate with SAP.iO to revolutionize supply chain sustainability, enhance agility, and secure a competitive future.

60%

of CSCOs are expected to make faster, more accurate decisions, in real time.

71%

of leaders reporting they expect to prioritize data-driven approaches.

$58.55billion

Projected to reach by 2031

60%

of supply chain organizations are investing in GenAI

Use Case

Fortify Your Supply Chain with AI

Solutions for an Efficient, Resilient Supply Chain

Demand Forecasting and Inventory Optimization

Optimize real-time stock levels while minimizing shortages and overstocking, enabling companies to respond swiftly to market demand changes.

Auto time series forecasting
Key inventory metric analysis
Real-time demand adjustments

Production Planning

Optimize resource allocation, coordinate tasks, and minimize downtime to meet deadlines efficiently.

Integration with real-time operational data
Dynamic scheduling
Material and resource allocation

Delivery Time Forecasting

Improve operational efficiency and customer satisfaction with AI-driven delivery time predictions.

Real-time delivery forecasting
Automated time estimation modeling
Segmented predictions for preparation and delivery

Drives 90% Demand Forecast Accuracy for a Fortune 500 Company

Managing an extensive supply chain poses significant challenges for accurate predictions. MoBagel partnered with a Fortune 500 medical equipment manufacturer, boosting demand forecast accuracy from 60% to 90% and enhancing inventory turnover—all within just one month of implementing AI solutions.

$6M

Overdue Payment
Avoided

90%

Demand Forecasting Accuracy

$14.6M

Stock Turnover
Increased

Enhancing Delivery Time Accuracy for a Top 3 Food Delivery Platform

Overestimating delivery times led to higher costs, inefficient operations, and reduced customer satisfaction for a leading food delivery platform. MoBagel partnered with the client to refine their estimated delivery time predictions by segmenting preparation and delivery phases.

38%

Forecast Accuracy
Improved

15%

Compensation Costs
Reduced

25%

Delivery Times
Shortened

Start Your Supply Chain Transformation

FAQs

Can MoBagel’s AI platform integrate with existing systems?

Yes, MoBagel’s AI platform is designed for seamless integration with existing business systems, offering no-code solutions with generative BI dashboards and reporting tools. It supports mainstream databases like MSSQL, MySQL, MongoDB, and BigQuery, as well as CRM, ERP, and GA systems. Advanced features include AI agent flow and process control, along with APIs for custom data pipeline integration, SSO, and advanced organizational permissions. These capabilities facilitate rapid and flexible adaptation to various business scenarios, enhancing operational efficiency and data-driven decision-making.

How does MoBagel support decision-making processes?

MoBagel boosts decision-making precision and efficiency using AutoML, expert-tuned LLMs for dynamic business scenarios, and generative AI Agent flows, all framed by Stanford Design Thinking to automate processes, reduce costs, and enhance profitability.

How does MoBagel handle data security?

MoBagel secures data with strict protocols, ISO 27001 compliance, and offers on-premise solutions for heightened data sensitivity. This ensures data remains secure and private, earning the trust of highly sensitive institutions including several Fortune 500 companies, governments, financial banks, and telecommunications.

What technologies are used in MoBagel’s Generative AI Builder Platform?

MoBagel employs Stanford Design Thinking processes and a combination of state-of-the-art, domain-specific LLMs fine-tuned for easy problem-solving. By integrating AutoML and DataOps, the platform ensures high-precision and real-time data processing, enabling effective predictive analytics and actionable business insights.