Demand planning
SKU-by-warehouse forecasts from sales history, consumption, and open orders, reviewed by a planner before they drive supply.
Supply chain planning
Plan demand, supply, and production on one model, then turn approved decisions into purchases, transfers, and production orders in the ERP you already run.
Workflow map. Scope is confirmed against your data and systems.
Definition / 01
AI supply chain planning uses machine learning on ERP, sales, inventory, and supplier data to forecast demand and recommend how to cover it: what to buy, make, or move, and when. In SOBERAN, demand, supply, and production planning share one operating model, people approve the recommendations, and approved actions are written back to the ERP or MES.
Last reviewed:
The planning layers / 02
Each layer reads the same inventory, orders, suppliers, and capacity, so a change in one plan shows up in the next one instead of in a spreadsheet.
SKU-by-warehouse forecasts from sales history, consumption, and open orders, reviewed by a planner before they drive supply.
Decide whether to buy, make, transfer, or re-promise, given stock, open supply, supplier lead times, and capacity.
Explode bills of material into component requirements and shortages, with the reason for each action kept on the record.
Sequence orders machine by machine against finite capacity, setup times, and due dates, and reschedule when a machine stops or material is late.
Approved purchases, transfers, and production orders are written to the ERP or MES with the reviewer and the reason.
How it runs / 03
SOBERAN agents assemble the recommendation and the evidence behind it. Your team sets the policies and thresholds, approves or adjusts each decision, and keeps control of exceptions.
Book a demoCustomer proof / 04
At Sumatec, more than 3 million inventory records feed SKU-by-warehouse recommendations. The team reviews purchases and transfers before approved actions are sent to its ERP.
Read the Sumatec story
Compare approaches / 05
| Criterion | SOBERAN | Spreadsheets and ERP modules |
|---|---|---|
| Data | ERP, WMS, sales channel, and supplier data read into one model. | Exports reconciled by hand, or only the data inside one module. |
| Demand | SKU-by-warehouse forecast that a planner reviews and adjusts. | Static formulas or rule-based forecasts. |
| Supply | Buy, make, or transfer recommendation with the constraint that drove it. | Reorder points calculated per location. |
| Production | Finite-capacity sequencing with setups; reschedules when events change. | Infinite-capacity MRP or a separate scheduling spreadsheet. |
| Execution | Approved orders written back with reviewer and reason. | Decisions re-keyed into the ERP. |
| Rollout | Scoped modules target about 30 days, depending on integrations and data. | Immediate but manual, or a configuration project inside the ERP. |
FAQ / 06
AI supply chain planning uses machine learning on ERP, sales, inventory, and supplier data to forecast demand and recommend how to cover it: what to buy, make, or move, and when. In SOBERAN, people approve the recommendations and approved actions are written back to the ERP or MES.
Demand by SKU and warehouse, supply (buy, make, transfer, or re-promise), materials requirements from bills of material, and production scheduling machine by machine with finite capacity. All four share one operating model with the ERP, CRM, and Contact Center that execute the plan.
No. SOBERAN is designed to plan on top of an existing ERP such as SAP Business One, NetSuite, Odoo, Exact, or Siesa and to write approved actions back to it. Companies can also run SOBERAN as their operating core over time.
ERPs such as SAP Business One, NetSuite, Odoo, Exact, and Siesa; sales channels such as Shopify and Amazon Seller Central; CRMs such as HubSpot; and WMS, 3PL, and other sources through APIs, files, or a custom connector. Sync frequency and write-back depend on what each system allows.
Yes. Production scheduling works against the finite capacity of each machine or work center, sequences orders considering setups, priorities, and due dates, reschedules when a machine stops or material is late, and releases approved production orders to the ERP or MES.
Yes. In the documented Sumatec deployment, SOBERAN processes more than 3 million inventory records across 80 warehouses and recommends transfers before new purchases when another location has safe surplus.
Only what your policies allow. Teams define approval rules and thresholds; recommendations show their source data, and approved actions are written back with the reviewer and the reason.
Scoped implementations target about 30 days, depending on integrations and data readiness. SOBERAN publishes three plans from $499 to $999 USD per month; the final quote depends on modules and integration scope.
Yes. SOBERAN can operate workflows with multiple currencies, time zones, customs requirements, and international suppliers. Scope is validated during implementation based on the systems, data, and countries involved.
Next / 07
Share the SKUs, warehouses, suppliers, and machines behind one product family. We will walk the plan from forecast to the order in your ERP.
From demand to purchasing
Start with an example, calculate your scenario and review the path to your ERP.
Review one workflow with our team — 30 minutes, no commitment.
Book a demo