Feature Comparison · 2026

Agentis vs Cogsy

Quick Verdict

Cogsy is a inventory demand forecasting and automated replenishment/purchase orders tool. Agentis works after an order is placed and before it ships: within 60 seconds it computes the order's true net margin from NetSuite COGS, freight, fees, and FX, then flags it or holds it before fulfillment under rules you approve. They solve different problems and often run side by side.

By Herzel MishelFounder, AgentisLast reviewed October 2, 2026

The Core Difference

Cogsy excels at inventory demand forecasting and automated replenishment/purchase orders. That is its job, and the strengths and limitations below are judged on margin protection only, not on everything the product does.

Agentis sits at a specific point in the order lifecycle: between order placed and order shipped. Within 60 seconds of each order on your Shopify, Shopify Plus, or SHOPLINE store, it computes true net margin using live COGS from Oracle NetSuite plus freight, fees, and FX. Orders below your margin floor are flagged with the leak and a recommended fix, or automatically held before fulfillment under rules you approve, and every decision is logged to the Evidence Ledger.

The result: you catch a below-margin order while it can still be fixed, instead of finding it at month-end close.

Feature-by-Feature Comparison

Feature	Agentis	Cogsy
True net margin on every order (COGS, freight, fees, FX)
COGS tracking
Margin alerts
Shopify Plus integration
NetSuite / ERP integration
Freight cost modeling
FX rate adjustment
Holds below-margin orders before they ship
Profit dashboard
Ad attribution
LTV analytics

Why choose Agentis

Computes true net margin on every order within 60 seconds of it being placed
Holds below-margin orders before fulfillment under rules you approve, or flags them with a recommended fix
Uses live COGS from Oracle NetSuite (commonly via Celigo)
Includes freight, payment fees, and FX in each order's margin
Works after the order is placed, so the shopper's checkout is untouched
Works with Shopify, Shopify Plus, and SHOPLINE, and logs every decision to an Evidence Ledger

When to choose Cogsy

Choose Cogsy if stockouts, overstock, and reactive purchase-order timing are the problem; it is purpose-built for demand forecasting and automated replenishment, and its 12-month forward view plus what-if scenarios are a genuine upgrade over spreadsheet-based inventory planning. It is complementary to Agentis, not a competitor. Cogsy decides how much of a SKU to have on hand and when to reorder it; Agentis checks whether each order that results, after every discount, freight cost, fee, and FX conversion is accounted for, actually clears your profit floor, and flags or holds it before it ships if not. Inventory distortion is one identifiable slice of margin leakage, and Cogsy closes that slice. It has no visibility into the other causes (discount stacking, freight-zone miscalculation, FX drag) that Agentis checks for on each order.

Cogsy Strengths

Demand forecasting up to 12 months out, with what-if scenario modeling for best-case, worst-case, and most-probable inventory positions
Automated replenishment alerts and purchase-order generation tied directly to forecasted demand, so restocking happens before a stockout, not after
Marketing-event-aware forecasting adjusts inventory plans around planned promotions rather than treating demand as flat
Multi-location and multi-channel visibility across Shopify, Amazon, and 3PL/inventory systems (ShipBob, ShipHero, Cin7, Fulfil)

Honest Assessment

Where Cogsy falls short for margin protection

Forecasts and automates inventory ordering; it has no margin or profitability logic — it tells you when to reorder, not whether the resulting order economics hold up
No COGS, freight, or FX awareness, and no per-order margin check; inventory distortion (dead stock, stockout-driven markdowns) is only one component of margin leakage, and Cogsy addresses just that one
Plans start at $49/month, but strategic demand-planning tiers commonly run $199+/month as SKU count and channel complexity grow
A well-forecasted, well-stocked SKU can still ship at a loss if checkout-time discounts, freight, or FX erode the margin Cogsy's forecast assumed

Frequently Asked Questions

Is Cogsy the same as Agentis?

No. Cogsy is a demand-forecasting and purchase-order automation platform focused on preventing stockouts and overstock. Agentis checks whether each order clears your profit floor after it is placed and before it ships, using live COGS, freight, fees, and FX, and flags or holds the ones that don't. Cogsy governs inventory supply; Agentis governs per-order margin. Cogsy's strengths are demand forecasting up to 12 months out with what-if scenario modeling, automated replenishment alerts and purchase-order generation tied to forecasted demand, marketing-event-aware forecasting that adjusts plans around planned promotions, and multi-location, multi-channel visibility across Shopify, Amazon, and 3PL systems. Its limitations are that it has no margin or profitability logic, no COGS, freight, or FX awareness, and no per-order margin check. Decide whether the leak is in inventory position or in order economics; Cogsy addresses the first and Agentis the second.

Should I use Cogsy or Agentis?

They don't overlap, so brands running inventory-distortion and margin-leakage programs in parallel can use both. Use Cogsy if stockouts and overstock from poor demand planning are the problem. Use Agentis if you need each order checked against a real profit floor, however well-forecasted the inventory was, with below-floor orders flagged or held before they ship. Inventory distortion, meaning dead stock and stockout-driven markdowns, is one identifiable slice of margin leakage, and Cogsy is built to close that slice with forward forecasts and automated replenishment. It has no visibility into the other causes, including discount stacking, freight-zone miscalculation, and FX drag, and a well-stocked SKU can still ship at a loss if discounts and costs on the order erode the margin the forecast assumed. Look at where your margin actually disappears before choosing: if it is stockouts and overstock, Cogsy fits; if it is individual orders going out below cost, the per-order check fits.

Does Cogsy check whether an order is profitable?

No. Cogsy has no COGS, freight, or FX awareness and does not evaluate order-level margin — it forecasts demand and automates replenishment. A well-stocked SKU can still ship at a loss if checkout-time discounts or costs erode the margin Cogsy's forecast assumed. Agentis is the layer that checks the final order against your profit floor. Cogsy's job is to tell you when to reorder and how much, using 12-month forecasts, what-if scenarios, and marketing-event-aware planning; it does not ask whether the resulting order economics hold up. Because it has no COGS, freight, or FX inputs, there is nothing in the system that could produce a per-order margin figure. Inventory accuracy and order profitability are related but separate: the first keeps the right stock available, the second decides whether selling it at the final price made money. Merchants should treat replenishment planning and margin enforcement as two controls, not one.

Can Cogsy and Agentis run together?

Yes. Cogsy forecasts demand and automates purchase orders so you have the right inventory at the right time; Agentis checks every resulting order after it is placed, computing true net margin within 60 seconds and flagging or holding it before fulfillment if it falls below your floor. Running both addresses two distinct components of margin leakage: inventory distortion (Cogsy) and per-order margin erosion (Agentis). The tools act at different points: Cogsy upstream, deciding how much to buy and when based on forecasted demand across Shopify, Amazon, and 3PL systems, and Agentis between order placed and order shipped. Cogsy's marketing-event-aware forecasting is useful here, because the promotions that drive forecast spikes are also the moments when discount stacking is most likely to push orders below cost. Brands with both inventory volatility and heavy promotional calendars are the profile that benefits most from running both.