A leader in prescriptive supply chain planning solutions, Logility, Inc., today announced the delivery of generative AI capabilities, extending its AI-first approach for supply chain management. Leveraging their AI-native platform, Logility’s GenAI aids in mastering the complexity of supply chain data, helping enterprises to make faster decisions that deliver competitive advantage.
Today’s supply chain professionals are drowning in data, and precious hours are wasted in data collation and searching for answers from dashboards and reports that are quickly outdated. Logility’s GenAI is designed to improve productivity by providing actionable insights via a conversational interface that anyone from any department – sales, marketing, operations, or finance – can use to speak supply chain in users’ everyday language.
Know Faster. Grow Faster.
Logility’s GenAI is designed to accelerate supply chain decision making, helping to dramatically increase access to information and the productivity of all team members involved in demand and inventory management. The new offering acts as a liaison that bridges departmental silos and helps organizations remove decision latency by moving from sequential processes to more fluid processes.
"We’re entering a new era in supply chain management, where speed and precision are not just desired, they're required," said Allan Dow, president of Logility. "Our GenAI is the embodiment of our commitment to innovation—delivering real-time insights, rapid decision-making, and increased market share. Our transformative supply chain platform empowers companies to meet the demands of today's dynamic market with confidence and strategic agility."
Supply Chain Insights for Everyone
Clients are leveraging our AI-first data structure for effortless explainability as a foundation that provides actionable insights from generative AI inquiries. Given the importance of forecasting, companies are starting with demand planning. With Logility’s GenAI, planners can query forecasts, sales history, and demand drivers for any product, location, or customer, for any time period, at any level of detail supported. They can see and analyze forecast changes leveraging large language models (LLMs) while staying within the guardrails of data security provided via Microsoft Azure.
To view the original press release, please click here.
