AWS Supply Chain Supply Planning offers
specialized models to accurately forecast and plan purchase of raw
materials, components, and finished goods to improve in-stock rates
across customers’ supply chains
AWS Supply Chain N-Tier Visibility helps
customers publish forecasts and confirm orders with multiple tiers
of suppliers, improving the accuracy of planning and execution of
processes
AWS Supply Chain Sustainability provides a
single, auditable way to request and collect carbon emissions and
other compliance data from suppliers
Amazon Q, a generative AI-powered assistant in
AWS Supply Chain that can summarize and highlight key risks, and
visualize “what if” scenarios to optimize supply chain
decisions
Boston Consulting Group, Equipment Depot, and
Woodside Energy among customers using new AWS Supply Chain
capabilities
At AWS re:Invent, Amazon Web Services, Inc. (AWS), an
Amazon.com, Inc. company (NASDAQ: AMZN), today announced four new
capabilities for AWS Supply Chain—combining Amazon’s nearly 30
years of supply chain experience with the resilience, security, and
business continuity of an AWS managed service to help customers
optimize their supply chains. These new capabilities, which will be
available in 2024, expand existing data lake, demand planning, and
machine learning (ML)-powered insights. With new supply planning,
collaboration, sustainability, and generative AI capabilities to
support upstream supply chain processes, such as supplier orders,
AWS Supply Chain is making it possible for an entirely new set of
customers, including manufacturers, to benefit from the service.
First, AWS Supply Chain Supply Planning will help customers
forecast, plan, position, and replenish components and finished
goods to reduce inventory costs and respond more quickly to demand
variations and supply disruptions. Second, AWS Supply Chain N-Tier
Visibility streamlines communication between customers and multiple
tiers of suppliers, improving their ability to more accurately
respond to supply plans, as well as manage demand or supply changes
during the execution window. With this capability, customers can
collaborate securely with their trading partners in just a few
clicks. Third, AWS Supply Chain Sustainability will provide a
central repository, enabling customers to request, collect, and
audit sustainability data. Finally, Amazon Q in AWS Supply Chain
provides supply chain professionals with a generative AI assistant
to provide a summarized view of key risks around inventory levels,
demand variability, and visualizes the tradeoffs between different
possible scenarios. To learn more about AWS Supply Chain, visit
aws.amazon.com/aws-supply-chain.
Today, customers are using AWS Supply Chain to improve inventory
visibility, help prevent stock-outs that can erode consumer trust,
and reduce overstock events that can increase carrying costs. The
existing Demand Planning capability of AWS Supply Chain applies
Amazon’s deep supply chain and ML expertise to increase the speed
and accuracy of demand forecasts. Customers can also use AWS Supply
Chain Insights, which provides a unified view of customer supply
chain data, to receive machine learning-powered recommendations to
help them mitigate inventory and lead-time risks. AWS Supply Chain
makes this possible by aggregating relevant customer data from
Enterprise Resource Planning (ERP) systems and normalizing them to
a common format. The data consolidated by AWS Supply Chain serves
as the foundation of the application’s current capabilities—Demand
Planning and Insights—but customers are asking for more support on
their upstream supply chain processes. The four new capabilities
announced today were born from that customer need.
“Customers are excited that we're making our extensive supply
chain experience available to them as a managed service. That,
combined with our industry leading analytics and ML means customers
can now track and plan for products more predictably, from
manufacturing facilities to final points of distribution,” said
Diego Pantoja-Navajas, vice president of AWS Supply Chain. “With
AWS Supply Chain, our customers have been able to increase
inventory visibility and execute on insights to mitigate supply
chain risks, reduce cost, and improve customer satisfaction. And
thanks to the power of generative AI, customers can ask Amazon Q in
AWS Supply Chain what is happening across their supply chains and
receive intelligent, conversational answers to complex
questions.”
New capabilities extend AWS Supply Chain upstream, enhancing
visibility and insights
Supply chain leaders continuously face the challenge of
coordinating with many different layers of trading partners, such
as suppliers, manufacturers, distributors, and retailers. Each
trading partner often has their own data stores that require
expensive customizations and long development cycles or manual
work-arounds to integrate. As a result, supply planners spend a lot
of time reconciling forecasts, order confirmations, shipment
quantities, and more. Siloed data—coupled with demand variations,
supply disruptions, and vendor lead-time uncertainty—makes it
difficult for many companies to accurately forecast demand and
determine optimal inventory levels. Manufacturers face additional
complexities associated with raw materials and components, which
are prone to variable pricing and availability. Furthermore,
trading partner responses to customer requests for data vary in
quality, frequency, timeliness, and structure, and are not always
systematically tracked or audited. Managing compliance artifacts
like carbon emissions and hazardous material disclosures at scale
is similarly challenging, and has traditionally been done via
email, fax, and messaging apps, without formal tracking and
auditing mechanisms. As a result, many organizations struggle to
ensure appropriate quantities of goods are in the right place at
the right time to efficiently meet demand or to meet increasingly
stringent regulatory requirements. With the new AWS Supply Chain
capabilities announced today, customers can more easily manage
their upstream supply chain, more accurately forecast needed
materials and inventory, communicate with suppliers to confirm
supply plans and obtain commitments, and get accurate data about
key environmental factors.
- AWS Supply Chain Supply Planning draws on Amazon’s
expertise in developing ML for its own operations and applies this
knowledge to create sophisticated supply planning models that can
accurately predict the right levels of inventory needed across
facilities. Supply Planning uses the demand forecasts created by
AWS Supply Chain Demand Planning, along with data about product,
facility, bill of materials (BOM), and inventory. This helps
customers determine how many units to order, when to place the
order, and where to position inventory, by recommending actions
such as the creation of purchase orders or inventory transfer
requests.
- AWS Supply Chain N-Tier Visibility extends customers’
visibility and insights not only to their direct relationships, but
also to multiple tiers of external trading partners. Customers can
invite and onboard trading partners in just a few clicks. Trading
partners can then automate communication and improve their own
forecasts. For example, customers can share purchase orders and
demand forecasts with their trading partners, and then track the
status of those purchase orders or changing inventory levels, all
from within AWS Supply Chain N-Tier Visibility. The updated supply
plans and purchase orders are exported to Amazon Simple Storage
Service (S3), so customers can integrate them with their ERP
systems. AWS Supply Chain chat and messaging capabilities make
collaboration even easier across the entire supply chain. For
example, if a component shipment is delayed, an inventory manager
can message a supplier to identify a work-around within the AWS
Supply Chain application. Improved collaboration and information
sharing with suppliers and manufacturers enhances the ability to
detect sourcing risks and component shortages, and enables
customers to mitigate disruptions.
- AWS Supply Chain Sustainability creates a more secure
and efficient way for sustainability professionals to obtain
documents and datasets from their supplier network. These customers
can request, collect, and export artifacts, such as product life
cycle assessments, certificates on product safety, or reports on
hazardous substances used, at any point in the supply chain.
Customers can also upload their own data collection form for their
suppliers to document any sustainability issue, utilize a standard
workflow process to send their suppliers reminders to answer data
requests, and communicate necessary changes based on supplier
responses. These capabilities will help customers provide
compliance information for environmental and social governance
(ESG) regulations with a single, auditable record of the data.
Generative AI enables customers to query supply chain
data
Customers want to be able to easily identify causal
relationships between factors that impact their supply chain
decisions, such as fluctuations in demand and disruptions in
supply, but doing so is challenging because it requires gathering
and analyzing disparate data across many different sources, which
is both tedious and time consuming. Gauging tradeoffs or
visualizing outcomes to complex scenarios in their supply chain can
also be challenging. As a result, supply chain leaders often have
to make decisions in the planning and positioning of materials and
inventory without the most accurate insights to inform
decision-making. Amazon Q in AWS Supply Chain helps solve these
challenges and improves customer productivity by providing an
easy-to-use, natural language interface that intelligently responds
to data analysis queries and questions about supply chain
decisions.
- Amazon Q in AWS Supply Chain is a generative AI
assistant powered by Amazon Bedrock that provides a natural
language interface in the AWS Supply Chain application so that
customers can query data within the AWS Supply Chain Data Lake, and
receive intelligent answers to “what?” and “why?” and “what if?”
questions. Amazon Q can be tailored to a customer’s business and
can also visualize outcomes of complex scenarios and the tradeoffs
between different supply chain decisions. For example, via a
conversational prompt within the AWS Supply Chain application, a
customer may ask, “What is the financial impact of delayed
replenishment orders in the Southeast region?” Amazon Q would
respond, "There are currently 8 delayed replenishment orders that
could cause an out-of-stock situation for 20 of your fast-moving
products in that region. The delay will have a revenue impact of
$150K." A customer may further ask, “Why are we not moving product
from other regions to account for this shortfall?" Amazon Q would
then respond, “Because you have less than optimal inventory across
your entire network for the next 7 days." The customer could then
ask, “What if I expedite the orders through air freight?” Amazon Q
would respond, “Air freight typically arrives in 2 days and could
reduce the revenue impact by $95K, but adds $2.4K in expedite
costs.” The speed and accuracy of Amazon Q’s responses can help
customers gain actionable insights to improve every aspect of their
supply chain.
Boston Consulting Group (BCG), a global management consulting
firm, is a strategic alliance partner to AWS. The partnership
between BCG and AWS helps organizations transform and enhance their
supply chains to enable advantaged growth, optimally balancing
agility, resilience, service, cost and sustainability. “Our
partnership provides a compelling and tangible business benefit to
customers, as BCG brings expertise in strategy, organizational
transformation and business integration to help deploy, scale and
drive adoption of AWS supply chain solutions at our customers,”
said Drake Watten, managing director and partner at BCG. “We are
currently supporting projects with the generally available
capabilities and preparing customers for the upcoming AWS Supply
Chain releases that will improve material, component, and finished
goods planning, improve partner management, and introduce
generative AI as a solution for supply chain management.”
Equipment Depot is a leading independent material-handling
equipment supplier and rental source with more than 50 branch
locations supporting 850 technicians. “Equipment Depot is
implementing an expansive digital transformation strategy to
support our rapid growth, and we’re excited to work with AWS to
support this strategy,” said Joakim Langkaas, director of
Operations at Equipment Depot. “AWS Supply Chain will transform our
planning process, improve inventory levels, and increase our
ability to make data-driven supply decisions. Demand Planning,
Supply Planning, and Insights will anticipate low inventory and
original equipment manufacturer delays, and provide real-time
recommendations to increase speed of service, improve customer
experience, and decrease equipment downtime. As an early adopter of
this technology, we expect these new capabilities will enable our
teams to put the right parts in the right place at the right
time.”
Woodside is a global energy company, founded in Australia with a
spirit of innovation and determination. Woodside provides energy
the world needs to heat and cool homes, keep lights on and enable
industry with a global footprint ranging from operations in Western
Australia to the Gulf of Mexico and beyond. “The remoteness of our
locations prohibits us from utilizing supply chain processes like
overnight shipment of spare parts, so we rely on stocking the right
parts across our warehouse network and leveraging multiple modes of
transport to ensure we support our operated facilities,” said
Tracey Simpson, vice president of Supply Chain at Woodside Energy.
“Our business needed a way to improve end-to-end supply chain
visibility, so we worked with AWS Supply Chain knowing their vision
for solving the problem aligned with ours. If fully scaled, we
expect the proactive visibility of order status, delivery issues,
and recommendations enabled by Order Insights will improve the
efficiency of our system and ways of working. We anticipate there
may be tangible business benefit for example a reduction in
material expedites and re-planning of maintenance. We are also
excited about the next phase of AWS Supply Chain, including
advanced supply planning, enriched partner collaboration, and the
integration of generative AI, to further improve supply chain
performance.”
About Amazon Web Services
Since 2006, Amazon Web Services has been the world’s most
comprehensive and broadly adopted cloud. AWS has been continually
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now has more than 240 fully featured services for compute, storage,
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plans for 15 more Availability Zones and five more AWS Regions in
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customers—including the fastest-growing startups, largest
enterprises, and leading government agencies—trust AWS to power
their infrastructure, become more agile, and lower costs. To learn
more about AWS, visit aws.amazon.com.
About Amazon
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