What challenges did Maxim's Group face before AI implementation?

Legacy ERP system limited integration and standardization across brands and geographies. Manual, redundant, and inconsistent supply chain and financial processes created inefficiencies. Simultaneous month-end closings strained IT teams and raised risk of data errors. Rapid, region-wide adaptation to evolving market and supply chain conditions was difficult. Growth across Southeast Asia's complex regulatory and business landscape required agile systems.

What was the impact of the AI solution?

Optimized supply chain, increased productivity, and reduced manual effort. Improved cost efficiency and enabled regional collaboration between supply chain and operations teams. Simplified business analytics and financial closing processes for multinational operations.

Source

MicrosoftProductionEvidence: Medium55/100

Maxim's Group streamlines regional supply chain operations for F&B brands

Use case typeWorkflow automationUpdated Jun 13, 2026

Maxim's Group, a specialty food and beverage service provider in Southeast Asia, faced complex operational and supply chain management challenges across multiple countries and brands. To optimize resources, boost productivity, streamline order fulfillment, and standardize financial processes, Maxim’s transitioned from legacy Microsoft Dynamics AX 2012 to cloud-based Dynamics 365 Finance and Supply Chain Management. The modernization project began with Starbucks operations in Vietnam and Singapore, aiming to harmonize processes regionally, ensure risk management, and respond to market changes swiftly. Automation and machine learning were introduced to forecast sales, manage procurement and inventory, as well as automate bulk order creation, picking, fulfillment, and in-store activities. Store-level data and financials are now consolidated automatically within Dynamics 365, streamlining monthly closing and reducing manual work for IT and finance staff. The system enables Maxim's to deploy a shared service model for cost efficiency and supports agility in new market expansions across Asia. The platform's adoption is being extended to other Maxim's Group F&B brands in the region, including Shake Shack, The Cheesecake Factory, Genki, and Yakiniku Like. Improved operational visibility and digital collaboration foster greater supply chain resilience and standardization.

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Organization: Maxim's Group
Industry: Consumer & Food
Location: Singapore

Why do we believe this deployment?Customer identity, provider attribution, maturity, and source checks

Customer: Maxim's Group
Provider: Microsoft
Maturity: Production
Linked source: microsoft.com

Maxim's Group, a specialty food and beverage service provider in Southeast Asia, faced complex operational and supply chain management challenges across multiple countries and brands

Customer identity supportedSource describes one deploymentMaturity supported

Primary read

Use case focus

Showing 3 of 3

1Automated Store Order Fulfillment in F&B Retail
2Sales Forecasting and Procurement Automation for Multi-brand Operations
3Cloud-Based ERP Standardization Across Southeast Asia

Legacy ERP system limited integration and standardization across brands and geographies.
Manual, redundant, and inconsistent supply chain and financial processes created inefficiencies.
Simultaneous month-end closings strained IT teams and raised risk of data errors.
Rapid, region-wide adaptation to evolving market and supply chain conditions was difficult.
Growth across Southeast Asia's complex regulatory and business landscape required agile systems.

Migrated from legacy Dynamics AX to Dynamics 365 Finance and Supply Chain Management in the cloud.
Introduced machine learning algorithms for sales forecasting and automated generation of procurement and transfer orders.
Automated order fulfillment, picking, packing, shipping, and in-store process tracking.
Consolidated store-level procurement, inventory and sales data, streamlining monthly and cross-country financial closing.
Rolled out standardized regional ERP blueprint, adaptable for each new brand and country in the group.

Technologies

Dynamics 365 Machine Learning Dynamics 365 Supply Chain Management Dynamics

Optimized supply chain, increased productivity, and reduced manual effort.
Improved cost efficiency and enabled regional collaboration between supply chain and operations teams.
Simplified business analytics and financial closing processes for multinational operations.

Architecture

Dynamics 365 Supply Chain Management integrates multimarket store operations, sales forecasting, procurement, order processing, inventory, and financials in a shared regional cloud instance. Machine learning forecasts next-week sales for stores, triggering auto-generation of bulk orders and transfer orders within Dynamics 365. In-store POS data flows into the ERP platform to automate cost and revenue recording and support streamlined financial close. The architecture is expandable to new markets and brands across Maxim's Group.

Sources & evidence1

Evidence: Medium55/100Evidence strength