SCALE AI’s strategy will be implemented using a carefully planned technology roadmap split into two streams.

Stream 1: address common business challenges

In the short term, SCALE AI will adopt and scale existing supply chain (SC) solutions implemented by members to drive immediate benefits.

SCALE AI will identify SC challenges and needs, agree on core requirements and drive towards common standards and processes. Moreover, it will encourage SC/AI/digital providers to collaborate, extend existing AI-based offerings, and share data. This will result in facilitated connections between supply chain users and SC/AI/digital providers to accelerate adoption of existing solutions.

Examples of stream 1 projects

Demand forecasting & planning

Use AI/Machine Learning (ML) to better predict changes in demand (or demand for new goods and services). Match capacity to expected production requirements.

Expected gains

Minimization of mismatches between supply and demand throughout the supply chain. Ultimately improve revenue, margins and customer service.

Warehouse & inventory planning

Improve product flow by leveraging optimization techniques combined with robotics to enable more efficient warehouse operations.

Expected gains

Optimization of merchandise flow to align with inbound and outbound schedules, resulting in decreased carried inventory.

Automated in-plant logistics

Develop robotic actuators and supporting systems (vision recognition, motor control, etc.) to automate the handling of items of varying dimensions.

Expected gains

Time savings on the handling of products of varying sizes and risk minimization.

Scheduling and predictive disruption analysis

Leverage AI technology for maintenance to better predict when machines and other mechanical assets will fail or require maintenance as well as identify needed resources.

Expected gains

Optimization of maintenance and repair schedules to decrease downtime impacts on SC productivity and effectiveness.

Stream 2: develop foundational intelligent supply chains building blocks

Over the long-term, SCALE AI will develop four foundational AI-based technology platforms  – operations, data, AI research, and infrastructure – to enable firms to quickly build innovative products and services that tackle system-wide issues as well as challenges at the company level.


Enhance partners’ ability to automate SC in real-time and effectively manage uncertainty

How? Improve visibility in demand planning and forecasting, inventory management, transportation, warehouse and product flow optimization, pricing, sustainability etc.

Project example

Services marketplace & automated procurement

Develop an AI/ML-based marketplace, sourcing and sharing platform that evaluates suppliers and connects them to buyers.

Enable participants to also source/share capacity and assets to maximize utilization throughout the network.

Expected gains

Connect buyers and sellers in an optimized and efficient manner based on historical patterns, current needs, cost, and other key factors.


Provide integrated solutions that accelerate the digitization of assets, processes, and activities as well as the storing and sharing of data among partners.

How? Capture data with tools such as natural language interfaces or computer vision systems.

Project example

Secure data exchange for integrated SC planning & execution

Develop a data exchange/clearinghouse and data delivery platform that provides authorized access to integrated, unstructured, usable data sets aggregated from multiple partners and third-party sources.

Expected gains

Securely collect, store and share operational/transactional information among participants up and down the supply chain.

AI research

Transform legacy SC, reduce inefficiencies and increase competitiveness.

How? Integrate Internet of Things (IoT), robotics, mobility and communications solutions in the SC.

Project example

Industrial & Mobile IoT

Leverage AI/ML to develop sustainable, dependable solutions that cost-effectively track and monitor the status of goods and assets throughout the supply chain and across multiple jurisdictions.

Expected gains

More visibility on the status of large volumes of assets/products in highly variable environments.


Confirm and ensure reliable information flow. Provide new tools for sustainability optimization. Track energy and waste footprints along SC.

How? Identify source, composition, and chain of custody as goods are produced, assembled, reconfigured and handled by multiple parties. Develop new tools for sustainability optimization.

Project example

Risk and compliance

Develop AI/ML-based, real-time solutions that can better process  new types of structured and unstructured data sources. This will result in more efficient risk and compliance management on a real-time and ongoing basis.

Expected gains

Track and maintain compliance while taking into consideration complex and changing international laws, regulations, industry standards, and supply chain legal contracts.