BizAutomation’s neurosymbolic supply chain planning AI agent and supply planning software bridges the gap between upstream demand forecasting and downstream procurement execution. By packaging live ERP BI report schemas with a Parent/Child Mixture of Experts (MoE) agent architecture, the platform generates explainable 30, 60, and 90-day supply plan proposals—evaluating multi-warehouse item substitutes for internal transfer before recommending vendor purchases, and executing approved plans via 100% T-SQL stored procedures with zero AI data drift.
Streams 1–3 ERP BI reports + relational schema definitions + your 30, 60, or 90-day stockout prompt via zero-latency Data-Mirror.
Manager AI orchestrates specialized Child agents to check nearby warehouse substitutes for transfer, evaluate lead times, and rank multiple suppliers per SKU.
Presents the transparent "Why" behind every recommendation. Upon human approval, updates the Forecast module with Selected Supplier, Buy Qty & Transfer Qty.
Procurement Manager executes the approved plan in one click. Native T-SQL stored procedures generate consolidated POs & Transfer Orders atomically.
See how BizAutomation unifies 30, 60, and 90-day demand horizons, cross-warehouse Transfer Order (`TO Opportunities`) substitute logic, and multi-vendor lead-time scoring inside a single operational workspace—before handing off to Procurement for atomic execution.
Rather than waiting for static reorder points to fail, the AI evaluates time-phased Order Demand Qty schedules alongside your 30, 60, and 90-day horizon columns—flagging projected stockout deficits (like the red -16 alert) and proposing exact replenishment quantities to clear backorders and protect future fulfillment.
Why spend cash buying inventory you already own in another branch? Inside the Supply Plan column, our Child AI agents and TO Opportunities (Transfer Order) engine automatically inspect nearby warehouses for excess stock or approved form-fit-function item substitutes—splitting the supply proposal between internal transfers and net new purchases.
When an item has multiple approved vendors, the AI cross-references Vendor & Cost Tier Analysis, blanket contract balances, and Lead-Time Analysis to pre-select the best supplier per line. Once approved under PO / TO Demand Plan mode, native stored procedures execute the purchase batch and transfer orders atomically.
Standard generative AI tools struggle in enterprise supply chain planning because large language models (LLMs) are probabilistic—meaning they can misread complex database relationships, hallucinate purchase quantities, or cause catastrophic data drift if allowed to write directly to ERP tables.
BizAutomation solves this through a neurosymbolic AI orchestration architecture paired with a 100% T-SQL stored-procedure ERP core. Instead of exposing raw database tables to an LLM, you select up to three ERP BI reports containing the relevant rows and columns for your planning run. BizAutomation packages the report data, your custom horizon prompt, and the relational schema metadata describing exactly how those fields interact.
Our Parent/Child Mixture of Experts (MoE) agents reason over that structured payload to build an explainable supply plan proposal for human review. Once you approve the proposal and your procurement manager clicks execute, deterministic stored procedures handle 100% of the database writes—guaranteeing ACID compliance across every purchase order, warehouse transfer, and general ledger entry.
Direct technical answers on neurosymbolic supply chain planning AI agents, warehouse substitute transfers, and atomic PO execution.
The workflow begins by sending the data and relational schema from up to three ERP BI reports—along with your custom 30, 60, or 90-day stockout prevention prompt—to our neurosymbolic AI orchestrator. Using a Parent/Child Mixture of Experts (MoE) approach, the Parent AI synthesizes analysis from specialized Child agents to propose optimal purchase quantities, select the best supplier per item, and recommend inter-warehouse transfers of substitute items. Once a human reviews the explainable reasoning and agrees, the Forecast module updates automatically.
BizAutomation never allows an LLM to write directly to your ERP database tables. First, our AI agents are grounded in your exact BI report schemas and present an explainable supply proposal for human-in-the-loop approval in the Forecast module. Second, when the procurement manager chooses to execute the approved supply plan, our 100% T-SQL stored-procedure architecture guarantees atomic execution across all generated purchase orders and warehouse transfer orders—preventing any possibility of data drift or partial transaction states.
Before recommending that you spend working capital on a new vendor purchase order, BizAutomation's planning agents and Transfer Order (TO Opportunities) engine inspect all nearby warehouse locations for excess inventory or approved form-fit-function item substitutes. If a qualifying substitute is available in a regional warehouse, the supply plan automatically recommends an internal transfer quantity alongside any remaining net purchase quantity.
Supply planning software is the upstream intelligence ("The Brain") that analyzes demand forecasts, current stock, BOM requirements, and warehouse substitutes to calculate what, when, and from which scored supplier to buy or transfer. Procurement is the downstream execution ("The Hands") that takes that approved supply plan and executes consolidated purchase orders, enforces vendor contract guardrails, tracks landed costs, and performs 3-way A/P invoice matching.