Multi-echelon inventory optimization (MEIO) sets the right stock at every tier of a network, from plants to distribution centers to forward locations, so you hit service targets with the least total inventory. It optimizes safety stock across echelons together rather than one site at a time, which is why it removes working capital that single-location methods leave stranded.
InfoSun runs demand-to-supply planning that meets service targets at the lowest working capital. We combine multi-echelon inventory optimization, demand planning, supply planning, and S&OP support into one managed operating model, with planners and AI-driven forecasting working together under human supervision. You get higher forecast accuracy, fewer stockouts, and inventory you own, not a tool you are left to run alone.
Each service runs on the same human-governed, AI-native operating model. Explore any one for what it covers, the outcomes it drives, and how it is delivered.
MEIO and safety stock optimization can cut inventory 15-25% while holding or lifting service levels.
AI demand forecasting senses shifts early to protect fill rate and OTIF.
One demand and supply plan connects commercial, operations, and finance.
Right-size stock across echelons to release cash tied up in the wrong locations.
Typical ranges across supply chain, logistics, and enterprise engagements, baselined against your current numbers at the start.
Choose the processes together, and analyze them first
Stand up the team, governance, and KPIs
Where supervised AI suits the work, and where it does not
Agents draft and perform; your people approve
Tune against live KPIs with your team
Runs on Manhattan, SAP EWM, and Blue Yonder, plus your TMS and ERP. No rip-and-replace.
| Build in-house alone | Contract it out | Run it with InfoSun | |
|---|---|---|---|
| Speed to value | Slow ramp: hire, tool, and train first | Fast start | Fast start, on the systems you already run |
| Who owns the capability | You, eventually | The vendor | You: playbooks, models, and process transfer to you |
| Process knowledge and data | Stays in-house | Accumulates with the vendor | Stays in your systems and your data |
| AI in the operation | You build it yourself | On the vendor's roadmap | AI-native from day one, human-supervised |
| Measured on | Effort and milestones | Activity and SLAs | Outcomes against your baseline |
India hosts 1,700+ global capability centers, and 83% of GCCs are already engaging generative AI.
NASSCOM and Zinnov India GCC Landscape; EY GCC Pulse, 2025. Market context, not InfoSun results.
No logos to borrow, no invented results. We prove value the only way that counts: on your baseline, on your dashboards.
We measure your current cost, accuracy, and service together at the start, so every target is grounded in your reality.
We set the outcome numbers with you before work starts. No moving goalposts.
We prove the model on a single workflow or site before scaling, so risk stays small.
You see the movement on your own metrics, monthly, not on ours.
We run on the WMS, TMS, and ERP you already own.
AI agents propose, your experts approve. Never a black box.
Get the baseline and business case before you commit.
Measured on cost, accuracy, and decision speed, on your P&L.
A selection of delivered outcomes from InfoSun engagements. Client names and financials are withheld.
Results from real InfoSun engagements, baselined at the start of each engagement. Client names and financials are withheld by request.
Multi-echelon inventory optimization (MEIO) is a method that sets inventory levels across every stage of a supply chain at once, from suppliers to plants to distribution centers to stores. Instead of optimizing each site in isolation, it accounts for how stock at one tier buffers the next, so you meet service targets with materially less total inventory and working capital.
Demand planning forecasts what customers will buy, using history, demand sensing, and market signals. Supply planning decides how to meet that demand, setting production, replenishment, and inventory across the network. Demand planning answers how much is needed; supply planning answers how to get it there at the right cost and service level.
Sales and operations planning (S&OP) aligns one demand plan and one supply plan across sales, operations, and finance on a regular cadence. That shared plan closes the gap between forecast and execution, which reduces both excess safety stock and stockouts. Better alignment plus higher forecast accuracy is how S&OP frees working capital without hurting fill rate.
S&OP balances demand and supply, usually on a monthly operational horizon. Integrated business planning (IBP) is the broader evolution: it brings the same cadence to financial plans, new product introductions, and strategic scenarios, so operational plans and business targets stay connected. IBP is S&OP with financial and strategic reconciliation built in.
It depends on your current forecast accuracy and network, but combining AI demand forecasting with multi-echelon inventory optimization commonly reduces inventory in the 15-25% range while protecting or improving service. The savings come from carrying less safety stock to cover forecast error and from positioning stock where demand actually occurs.
You optimize the network as one system, not warehouse by warehouse. Multi-echelon inventory optimization models demand variability, lead times, and service targets across every location together, then sets safety stock and replenishment for each tier. Pairing it with network design decides which sites hold which SKUs, minimizing total inventory and cost-to-serve.
Written and reviewed by the InfoSun operations team. Last updated July 14, 2026.
In a 30-minute assessment we map one high-cost workflow against your baseline and show the path to it.
30 minutes. Scoped to your operation. No obligation.
