Baker Hughes & C3 AI Release BHC3 Production Schedule Optimization Application for Demand Planning & Manufacturing Production Scheduling
3.3.2021 17:00:00 EET | Business Wire | Press release
Baker Hughes (NYSE: BKR) and C3 AI (NYSE: AI) have announced the launch of BHC3™ Production Schedule Optimization (PSO), an enterprise AI application for industrial demand planning and manufacturing production scheduling. The application improves supply chain and delivery performance for highly engineered products while minimizing manufacturing costs by generating industrial customer demand predictions and optimal production schedules using a holistic view of buyer activity, supply chain materials, and manufacturing and distribution operations.
BHC3 PSO produces accurate demand forecasts for industrial and oil and gas operations as well as defined manufacturing and distribution schedules, factoring in dynamic market conditions, operational constraints, and the inherent uncertainty associated with these operations. BHC3 PSO also generates actionable insights for buyers, sellers, inventory analysts and production schedulers to make near real-time adjustments to production schedules for industrial and oil and gas operations. The application is now generally available to oil and gas and manufacturing businesses globally and is the latest addition to the growing portfolio of BHC3 artificial intelligence (AI) applications from the BakerHughesC3.ai alliance.
BHC3 PSO integrates a wide range of inputs, including feedstock availability, changing market prices, priority customer orders, increasing reworks, and unplanned downtime. With the application, users can optimize goals across manufacturing and distribution activities, including inventory minimization and throughput maximization, while considering operational constraints including storage policy, asset performance, and resource availability.
BHC3 PSO has already demonstrated success with trial customers. For example, a large hydrocarbon processing company that configured the BHC3 PSO application for a polypropylene plant was able to optimize production schedules and reduce manufacturing costs. After a 16-week trial, the company achieved a 20% improvement in demand forecasting accuracy by generating optimal production schedules without manual adjustment and adopting machine learning models.
“We are committed to leading and advancing the digital transformation of energy operations globally. This application is the latest in a series of new AI solutions we have launched in recent months that allow customers to achieve significant cost reductions, new levels of productivity, and organizational alignment for highly engineered products and industrial plants,” said Ed Abbo, C3 AI president and CTO. “BHC3 Production Schedule Optimization supports discrete, batch, semi-batch, and continuous manufacturing processes in network and multi-stage environments, delivering cost and productivity benefits across midstream and downstream oil, gas, and chemicals operations."
“Enterprise AI has the ability to create value and deliver results for manufacturing across the energy value chain,” said Uwem Ukpong, executive vice president of regions, alliances & enterprise sales at Baker Hughes. “Optimization of the supply chain and reduction of production costs are especially relevant today for energy and industrial businesses. BHC3 Production Schedule Optimization combines the manufacturing and technology expertise of Baker Hughes with C3 AI’s leading technology to help operators better forecast materials production to serve their customers.”
For more information about BHC3 product offerings, please visit BakerHughesC3.ai.
About C3.ai, Inc.
C3.ai, Inc. (NYSE:AI) is a leading provider of Enterprise AI software for accelerating digital transformation. C3 AI delivers a family of fully integrated products: C3 AI® Suite, an end-to-end platform for developing, deploying, and operating large-scale AI applications; C3 AI Applications, a portfolio of industry-specific SaaS AI applications; C3 AI CRM, a suite of industry-specific CRM applications designed for AI and machine learning; and C3 AI Ex Machina, a no-code AI solution to apply data science to everyday business problems. The core of the C3 AI offering is an open, model-driven AI architecture that dramatically simplifies data science and application development. Learn more at: www.c3.ai
About Baker Hughes
Baker Hughes (NYSE: BKR) is an energy technology company that provides solutions to energy and industrial customers worldwide. Built on a century of experience and with operations in over 120 countries, our innovative technologies and services are taking energy forward – making it safer, cleaner and more efficient for people and the planet. Visit us at bakerhughes.com.
To view this piece of content from cts.businesswire.com, please give your consent at the top of this page.
View source version on businesswire.com: https://www.businesswire.com/news/home/20210303005570/en/
Contact information
C3.ai Public Relations
Edelman
Lisa Kennedy
415-914-8336
pr@c3.ai
Investor Relations
IR@C3.ai
Baker Hughes Contacts:
Media Relations
Ashley Nelson
+1 925-316-9197
Ashley.nelson1@bakerhughes.com
Investor Relations
Jud Bailey
+1 281-809-9088
investor.relations@bakerhughes.com
About Business Wire
For more than 50 years, Business Wire has been the global leader in press release distribution and regulatory disclosure.
Subscribe to releases from Business Wire
Subscribe to all the latest releases from Business Wire by registering your e-mail address below. You can unsubscribe at any time.
Latest releases from Business Wire
Follow-on Order Brings Orders from INNIO Data Center Customer to 1.72 GW, Further Strengthening INNIO’s Data Center Backlog and Revenue Visibility22.10.2026 15:30:00 EEST | Press release
INNIO N.V. (Nasdaq: INIO) today announced a 620 megawatt (MW) follow-on order from a leading developer and operator of mega-scale data center campuses in the U.S. Together with the customer’s 1.1 gigawatt (GW) order announced in July 2026, the new order brings cumulative orders from the customer to approximately 1.72 GW, further strengthening INNIO’s order backlog and visibility into future revenues. “This follow-on order, coming just months after the customer’s initial 1.1 GW order, underscores the strength of customer demand and continued confidence in INNIO. Our containerized Jenbacher solutions deliver what data centers need most: fast deployment, high power density, fuel efficiency, and the performance to support demanding AI workloads,” said Dr. Olaf Berlien, President and CEO of INNIO. “Repeat orders of this scale, combined with long-term service agreements, strengthen our backlog and expand the services base that underpins our business model,” added Dr. Berlien. All 620 MW will
European Public Transport Budgets Require 36% Annual Spending Increase by 2035, Arthur D. Little and Polis Research Finds22.10.2026 15:30:00 EEST | Press release
Europe’s public transport sector currently accounts for €130 billion in annual expenditure, yet faces a growing funding gap as demand rises and environmental and resilience requirements intensify. New research from Arthur D. Little (ADL)’s Future of Mobility Lab and POLIS, a network of European cities and regions collaborating to develop innovative and sustainable urban transport solutions, outlines the scale of this financial shortfall and provides radical recommendations for overcoming it. Based on research with senior transport and policymakers, in-depth literature reviews, and real-world data from Paris, London, Amsterdam, Berlin and New York, the report estimates that additional spending will require a 36% increase in overall annual expenditure from now to 2035 onwards. This is made up of a 13% rise in operating expenditure (OPEX) and 56% in capital expenditure (CAPEX), driven by: Hidden debt caused by historic underinvestment in existing infrastructure (6% of additional funding n
Hitachi Report Examines Readiness for Physical AI in Industrial Companies22.10.2026 15:00:00 EEST | Press release
Hitachi, Ltd. (TSE:6501, "Hitachi") announced the release of its physical AI survey-based research report, Beyond the Pilot: Industry’s Physical AI Progression. The company surveyed over 200 global decision-makers from organizations operating in mission-critical industrial sectors including energy, manufacturing, transportation and logistics. The report explores how businesses today adopt AI in industrial use-cases, where they see the greatest value, and what it will take to scale toward physical AI deployments. Readers will gain practical insights on how to accelerate AI adoption while improving competitiveness, productivity, and long-term business performance. After successfully transforming knowledge work, AI is now entering the physical systems that form society’s backbone: energy, industrial, and mobility infrastructure, to name a few. Given these systems’ reliability, safety, and regulatory requirements, there is no room for AI hallucinations. In short, AI technology applied to t
Datavault AI Signs Non-Binding Letter of Intent to Acquire a 19.9% Equity Stake in DataMEDS AI in Consideration of an Expanded Technology License22.10.2026 15:00:00 EEST | Press release
Datavault AI Inc. (“Datavault AI” or the “Company”) (Nasdaq: DVLT), an Artificial Intelligence Platform (“AIP”) company providing data monetization, credentialing, and real-world asset (“RWA”) tokenization, today announced that it has entered into a non-binding letter of intent (“LOI”) to acquire a 19.9% equity interest in DataMEDS AI, Inc. (NASDAQ: MEDS) (“DataMEDS”) in consideration of an expansion of its existing technology license with DataMEDS. The proposed transaction is subject to completion of due diligence and negotiation of definitive agreements and will be subject to customary closing conditions for a transaction of this nature. The proposed transaction is structured to provide Datavault AI with the opportunity to obtain an equity interest in DataMEDS while preserving ownership of its underlying intellectual property. In exchange for expanding its existing technology license, Datavault AI expects to receive a 19.9% equity interest in DataMEDS on a fully diluted basis, with t
Megaport Expands AWS Connectivity With AWS Interconnect to Simplify How Customers Connect Their Infrastructure22.10.2026 15:00:00 EEST | Press release
Megaport Limited (ASX: MP1) (“Megaport”), a leading global automated infrastructure platform, today announced support for AWS Interconnect, a new managed connection model from Amazon Web Services (AWS) designed to simplify how businesses connect their infrastructure to AWS. AWS Interconnect from Megaport gives enterprises and AI infrastructure providers an automated connectivity option as their requirements grow beyond traditional AWS Hosted Connections. MACsec encryption and four redundant links across two sites will be included as part of the service at general availability, with customers able to select connection speeds from 1 Gbps to 100 Gbps. Customers can start an order for AWS Interconnect - last mile from either the Megaport Portal or AWS Management Console and complete it from the other. AWS and Megaport then automate the underlying network configuration, including VLANs, IP subnets, MTU, and BGP. This removes the need for customers to arrange the port, letter of authorizatio
In our pressroom you can read all our latest releases, find our press contacts, images, documents and other relevant information about us.
Visit our pressroom