Feature Comparison · 2026

Agentis vs Cogsy

Quick Verdict

Cogsy is a inventory demand forecasting and automated replenishment/purchase orders tool. Agentis is the only platform that enforces profit floors in real-time at Shopify Plus checkout, evaluating live COGS, freight zones, and FX rates in under 10ms before an order is confirmed. They solve fundamentally different problems.

By Herzel MishelFounder, AgentisLast reviewed September 9, 2026

The Core Difference

Cogsy excels at inventory demand forecasting and automated replenishment/purchase orders. It gives you visibility into what happened after orders are placed, helping you understand trends and make better decisions over time.

Agentis operates at a different layer entirely. Every checkout on your Shopify Plus store is evaluated against your live profit floor, pulling real COGS from NetSuite, applying freight zone costs, and adjusting for live FX rates, in under 10ms. Orders that fall below your margin threshold are blocked or modified before they're confirmed.

The result: you stop losing money on every unprofitable order, not just understand that you lost it.

Feature-by-Feature Comparison

Feature	Agentis	Cogsy
Real-time checkout enforcement
COGS tracking
Margin alerts
Shopify Plus integration
NetSuite / ERP integration
Freight zone modeling
FX rate adjustment
Checkout order blocking
Profit dashboard
Ad attribution
LTV analytics

Why choose Agentis

Blocks below-margin orders before they are confirmed. No post-purchase regret.
Syncs live COGS from Oracle NetSuite via Celigo in real-time
Applies freight zone cost modeling per shipment destination
Adjusts for live FX rates on international orders automatically
Evaluates every checkout in under 10ms with zero customer friction
Purpose-built for Shopify Plus mid-market merchants ($1M–$50M GMV)

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 decides whether the order that results — after every discount, freight cost, and FX conversion is accounted for — actually clears your profit floor. Inventory distortion is one identifiable slice of margin leakage; Cogsy closes that slice. It has no visibility into the other causes (discount stacking, freight-zone miscalculation, FX drag) that Agentis enforces against at checkout.

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 checkout-level enforcement — 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 evaluates whether orders clear a real profit floor at checkout, after live COGS, freight, and FX are accounted for. Cogsy governs inventory supply; Agentis governs checkout-time 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 checkout-level enforcement. A merchant should 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 most Shopify Plus brands running inventory-distortion and margin-leakage programs in parallel use both. Use Cogsy if stockouts and overstock from poor demand planning are the problem. Use Agentis if you need every order to clear a real profit floor regardless of how well-forecasted the inventory was. 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 checkout-time costs erode the margin the forecast assumed. Merchants should look at where their margin actually disappears before choosing; if it is stockouts and overstock, Cogsy fits, and if it is orders confirming below cost, the enforcement layer 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 evaluates every resulting checkout against your live profit floor. Running both closes two distinct components of margin leakage: inventory distortion (Cogsy) and checkout-time margin erosion (Agentis). The tools act at different points in the supply chain: Cogsy upstream, deciding how much to buy and when based on forecasted demand across Shopify, Amazon, and 3PL systems, and Agentis at checkout, deciding whether each order clears the floor. 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.