Transform supply chain planning with agents
Few business functions are as ready for agentic AI as supply chain planning — hundreds of interconnected decisions made daily, across systems that don’t talk to each other, with consequences that compound. Our deepest discovery to date maps the full opportunity surface end to end.
Explore the package75
sub-processes across 8 planning domains
41
structural problems with real value potential
14
agents across the end-to-end lifecycle
Survey discoveries · 6 artifacts
Private Equity · M&A / Roll-Up
Air Control Concepts
Agentic AI opportunity map for an HVAC service roll-up platform across two tracks — acquisition execution, from proprietary deal sourcing through diligence and post-close integration, and portfolio management, where service-agreement enrollment and renewal drive operating leverage.
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Public Sector · Trade Administration
Bangladesh Ministry of Commerce
Discovery narrative for Bangladesh’s Trading Corporation — mapping agentic AI opportunities across commodity demand forecasting, inventory visibility, and market price monitoring — paired with an interactive prototype of the operator’s human-agent interface.
Financial Services · Credit Union / SBA Lending
Truliant Federal Credit Union
Focused discovery for a top SBA credit union lender — surfacing an underwriting intelligence agent that reclaims 500+ senior underwriter hours annually while protecting PLP compliance.
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Financial Services · Regional Banking
United Community Bank
Discovery methodology demonstration for a $28B regional bank — drilling from strategic priorities to a cross-sell opportunity agent that targets UCB’s fee-income growth imperative.
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Industrial Distribution · Warehouse Operations
ACME Tools
End-to-end discovery across the warehouse operation — receiving, putaway, picking, packing, and purchasing — mapping where agentic AI lifts throughput against the daily order ceiling that constrains the business.
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Aerospace & Defense · Production Scheduling
Acron Aviation
Interactive discovery for master scheduling in an avionics business unit — framing the scheduling profile as the durable, engine-agnostic asset, four near-term agents that triage exceptions and keep the plan current, and a prototype-first path to production on SAP.
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