NEW YORK, Oct. 29, 2026 (GLOBE NEWSWIRE) — Jedify, the autonomous context graph for data-intensive agentic applications and workflows, today announced it will showcase its new Data Agents at the Gartner Supply Chain Planning Summit 2026 in Denver at booth No. 305. The Jedify team will run live demos and share new benchmark results showing the technology behind Data Agents holds token costs nearly flat as business questions get harder.
Jedify Data Agents enable teams to build autonomous analysts in plain language. Agents monitor business metrics, investigate changes, and run recurring analyses on demand, on a schedule, or when a set condition is met, without anyone writing code or building workflows. For supply chain planning teams, this could mean automatically investigating a forecast miss, identifying the drivers behind an inventory change, monitoring supplier performance, or flagging a service-level issue before a planner has to manually pull data from multiple systems. Results reach teams through Slack, email, or any MCP-enabled platform, and agents inherit each user’s existing data permissions.
At the booth, attendees can see how Data Agents can answer questions such as: “Which products are driving this month’s forecast error?”, “What changed in inventory levels across our top distribution centers?”, or “Which suppliers are contributing most to declining OTIF (on-time, in-full) performance?” The agent can investigate the underlying data, identify relevant drivers, and surface the analysis without requiring planners to build a new workflow or write SQL.
Attendees can also see the results of Jedify’s new production benchmark. Across 100 business questions run twice against a production data warehouse, Jedify generated SQL at about 25,000 tokens per query. That is roughly half the token load of the ~50,000-token raw schema approach typical at 100-table enterprise scale. The benchmark included increasingly complex analytical questions, from straightforward metric lookups to multi-step analyses such as cohort analysis, net revenue retention and multi-step funnels, and found that complexity added only 6% to token usage. For supply chain use cases, the same ability to maintain predictable costs as questions become more complex is important when agents move beyond simple reporting into investigations that require comparing products, locations, time periods, suppliers or other dimensions.
“An agent that monitors your business every day can’t get more expensive every time a question gets harder,” said Adi Elimelech, CTO and co-founder of Jedify. “Our benchmark shows that when an agent knows exactly which business definitions a question needs, cost stays flat and answers hold up, whether you’re asking for one number or a full cohort analysis. For planning teams, that means an agent can move from monitoring a KPI to investigating why it changed without requiring a fundamental increase in token usage every time the analysis gets more sophisticated.”
At the summit
- What: Gartner Supply Chain Planning Summit 2026
- When: Nov. 2 to 3, 2026
- Who: Jedify executives will be on hand for Live Data Agents demos focused on supply chain planning use cases and benchmark walkthroughs
- Where: Booth #305, Gaylord Rockies Resort & Convention Center, Denver, CO
- Book a demo
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About Gartner Supply Chain Planning Summit 2026
The Gartner Supply Chain Planning Summit delivers must-have insights, strategies and frameworks for supply chain planning leaders to address their strategic needs within their organizations. Join us to drive breakthrough outcomes, building future-ready planning teams, ensuring frictionless planning performance, enabling AI-driven and digitally advanced planning, and embedding change management focus, to elevate performance, drive revenue growth, and foster lasting agility. For more information visit: https://www.gartner.com/en/conferences/na/supply-chain-planning-us
About Jedify
Jedify provides governed operational intelligence, powered by its autonomous context graph for enterprise-grade AI, giving organizations connected business context and agents built on top of it. By connecting an organization’s structured operational data, including data warehouses, CRMs and financial systems, with its unstructured knowledge, such as documents, playbooks, Slack and meeting recordings, Jedify automatically builds a proprietary context graph powered by Semantic Fusion™. On top of that graph, Jedify builds and deploys production-grade AI agents and applications that are more accurate and consistent, without the hallucinations or token waste associated with context-free approaches. Jedify is model-agnostic, so enterprises can build on the AI platforms they choose without single-vendor lock-in. For more information, visit www.jedify.com and follow us on LinkedIn.
Contacts
BOCA Marketing for Jedify
jedify@bocamarketing.com
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