ReplenishRadar vs Prediko: Open Forecasting vs Black Box
Quick Verdict
Choose ReplenishRadar if you want to see what your forecast model is actually doing, want the FBA shipment built from the same plan that sized it, or want an AI agent that can see the forecast math as well as the forecast. Prediko now reads Amazon sales into its forecasts and suits a small store that is happy building FBA shipments by hand in Seller Central, but its forecast method stays hidden and its Amazon link stops at the forecast.
The short version. ReplenishRadar and Prediko both forecast demand for Shopify sellers. Both read Amazon sales into the forecast too: Prediko now has a native Amazon integration. They split on transparency and on what happens after the forecast. ReplenishRadar shows the model behind every reorder, and on Growth and up it turns an FBA restock into an inbound shipment plan in Amazon. Prediko calls its method "AI-powered" without showing it, and its Amazon link only reads. ReplenishRadar publishes every self-serve price: $99, $199 and $499/mo at launch pricing through December 31, 2026, then $119, $249 and $499. Prediko prices on GMV, from $49/mo for stores under $100k up to $3,999/mo at $45M to $50M, so its bill climbs as your revenue does (Prediko pricing page, checked October 26, 2026). Every reorder ReplenishRadar suggests traces back to the SKU's demand pattern and lead time, so you can check the number before you order.
Here is something about Prediko that you will not hear from their marketing: "AI-powered" is not a forecasting method. It is a label. And when a tool tells you to order 500 units without showing which model generated that number, what demand pattern it detected, or how it handled that flash sale last month, you are trusting your cash flow to a black box.
That is the core difference here. Not features, not pricing, not who has a prettier dashboard. The question is whether you can see what your planning tool is doing with your data.
Prediko's Three-Tab system reorganizes the dashboard. It does not change the math.
Prediko recently repackaged its planning flow as a named "Three-Tab System": Demand, then Supply, then Replenish. Three tabs, left to right, so you feel like you are walking through a real process. It is a clean layout, and it is good marketing.
Here is what it is not. It is not a new forecast. It is not model selection. It is not per-SKU demand classification. It is the same planning data Prediko already had, sorted into three tabs. The dashboard got rearranged. The numbers behind your reorder did not.
This matters because a tidy three-step layout can make any tool feel structured, and it is easy to mistake a menu for a method. The question that decides your cash flow is not how many tabs the screen has. It is what happens inside each step, and whether you can see it.
ReplenishRadar walks the same three questions, and it shows the work at every stage:
- Demand: we classify each SKU by how it actually sells, steady or seasonal or intermittent or variable, and pick the forecast method that fits. You see which one, and why.
- Supply: we test that demand against real lead times from your PO history, not a number you typed once and never checked again.
- Replenish: we give you three ways to order (Bridge, Full Cycle, Skip Ahead) with the cost of each. Then we draft a PO that waits for your OK before anything is sent.
Same three questions every planning tool has to answer. The difference is you can open any number in ours and trace it back to your own data. Prediko gives you three tabs. We change the numbers behind the reorder, and we let you check the math.
Prediko is growing fast, and there is a reason
Shopify deprecated Stocky, delisted it in February 2026, and shut it down on August 31, 2026. Prediko, a Shopify-native app rated 4.9 out of 5 across 253 reviews on the Shopify App Store (checked September 21, 2026), has been capturing that migration wave aggressively. If you are a former Stocky user looking for a replacement, Prediko is probably on your shortlist.
The appeal is real. They are Shopify-native, the onboarding is quick, and the interface is clean. For a seller with 50 SKUs on one Shopify store who just needs basic restock suggestions, Prediko can work.
But there are things Prediko does not do that you will care about once your operation grows past "small and simple." And by the time you care, you will have already built workflows around the tool. Switching later costs more than switching now.
The transparency problem
Every reorder ReplenishRadar suggests traces back to your data. Click any one and you see the forecast model we picked, the SKU's demand pattern, its sales rate, its lead time and safety stock, and whether the season moved the number. You can see every input. You can change every input.
Prediko does not do this. You get a number. Sometimes that number is right. Sometimes it is not. When it is wrong, you have no way to diagnose why.
Say a tool suggests 300 units of a SKU you know is seasonal. Is it accounting for the season? Is it using a trailing average? Is it weighting recent weeks more heavily? If the tool does not show the model, you cannot tell, and six months of use will not tell you either. That is not a minor complaint. That is a structural gap in how you make purchasing decisions worth tens of thousands of dollars.
Prediko's Amazon link stops at the forecast
Credit where it is due: Prediko reads Amazon now. Its native integration imports your Amazon products, inventory, fulfilment locations, orders and returns, and Amazon sales feed its forecasts. You can include merchant-fulfilled orders or keep it to FBA. If an older comparison told you Prediko works with Shopify alone, that is out of date, and "Shopify and Amazon in one forecast" no longer separates the two tools.
The link runs one way, though. Prediko's own help article lists three things it does not do: push inventory from Prediko to Amazon, send POs to Amazon FBA, or create FBA shipments (Prediko Amazon integration article, checked October 21, 2026). So Prediko can tell you that you need 400 units at FBA. Then you open Seller Central and build that shipment by hand, line by line, from a number you cannot inspect.
That handoff is where restock plans drift. The quantity you approved and the quantity you typed into Amazon stop being the same record, and nothing checks one against the other.
With ReplenishRadar, the same plan that sized the restock becomes the shipment. On Growth and up, you create the FBA inbound shipment plan in Amazon from a direct-to-FBA PO or from the transfer flow, so the quantities you approved are the ones Amazon receives a plan for. On Standard, we prepare a Send to Amazon upload file for Seller Central: you upload it to a new shipment there, then enter the Amazon shipment ID back in ReplenishRadar so the shipment stays matched to the transfer. Either way, the number you checked is the number that ships.
Where else Prediko falls short
One suggestion, no options. Prediko gives you a reorder quantity. One number. ReplenishRadar gives you three strategies for every reorder: Bridge (order just enough until your next order window), Full Cycle (standard replenishment covering lead time plus safety stock), and Skip Ahead (order aggressively for a seasonal ramp or bulk discount). Each shows the cost so you can match the order to your cash position.
No forecast accuracy tracking. ReplenishRadar compares past predictions to actual sales. You can see which SKUs the model nails and which ones need attention. Prediko does not offer this. There is no feedback loop, no way to measure whether the suggestions were right after the fact.
An agent gets the same black box. Prediko launched Pia, a built-in chatbot over Prediko's existing data. As of October 2026 it also ships an MCP integration on every plan, so Claude, ChatGPT and other MCP clients can query Prediko and draft POs that you confirm inside Prediko (Prediko MCP page, checked October 21, 2026). That was the right call, and it means "can I use my own AI" no longer separates the two tools. What separates them is what the agent gets back. Ask either one why it wants 300 units of a SKU and the answer can only be as open as the forecast behind it.
Ours runs on the same open standard. We expose 49 ReplenishRadar MCP tools plus knowledge search that work with compatible agents and workflow tools: Claude Desktop, OpenClaw, custom Python scripts, n8n automations. When your agent pulls a forecast, it gets the demand pattern, the model we picked and the inputs, so it can explain the number to you instead of repeating it. Limited read and safe basic-action access starts on Standard, direct write tools start on Growth, and every PO an agent drafts requires approval before it can be sent.
Feature comparison
| Capability | ReplenishRadar | Prediko |
|---|---|---|
| Shopify integration | Native OAuth | Native Shopify app |
| Amazon SP-API integration | Native, reads and writes | Native, read-only (products, inventory, orders, returns) |
| FBA inbound plan creation | Yes, in Amazon (Growth and up; Standard: Send to Amazon upload file) | No |
| Demand forecasting | Per-SKU model selection, transparent math | "AI-powered," model not disclosed |
| Demand pattern classification | Steady, seasonal, intermittent, variable - visible per SKU | Not visible |
| Forecast accuracy dashboard | Predictions vs actuals over time | Not available |
| Ordering strategies | Three per SKU (Bridge, Full Cycle, Skip Ahead) | Single suggestion |
| Outlier detection | Flash sales isolated from baseline | Not documented |
| Safety stock with lead time variance | Automatic, per-supplier | Available |
| MOQ and casepack enforcement | Automatic across POs | Available |
| Purchase order workflow | Yes | Yes |
| AI agent integration | Open MCP server package, 49 ReplenishRadar tools plus knowledge search, forecast model visible to the agent | Pia chatbot in the app, plus an MCP integration on every plan (as of October 2026) |
| Multi-store support | Multiple Shopify + multiple Amazon accounts | Multi-store and location support on every plan; multiple Amazon accounts not documented |
| Pricing | Public: $99 / $199 / $499 per month at launch pricing through December 31, 2026; $119 / $249 / $499 after | Public, by GMV band: $49/mo under $100k, $119/mo at $100k to $500k, $199/mo at $500k to $2M, up to $3,999/mo at $45M to $50M |
| Free trial | 14 days | 14 days |
Pricing
Prediko moved to GMV-based pricing in May 2026. If your store does under $100k in gross merchandise volume, you pay $49/mo. That is genuinely cheap. Above $100k the price follows your revenue band, not your usage. These are Prediko's monthly-billing prices (Prediko pricing page, checked October 26, 2026); annual billing is about 15% less:
| Yearly GMV | Prediko price |
|---|---|
| Under $100k | $49/mo |
| $100k to $500k | $119/mo |
| $500k to $2M | $199/mo |
| $2M to $5M | $349/mo |
| $5M to $10M | $499/mo |
| $10M to $20M | $999/mo |
| $20M to $50M | $1,499/mo to $3,999/mo, up $500 every $5M |
| Over $50M | Contact Prediko |
ReplenishRadar publishes every tier:
| Tier | Launch price (through Dec 31, 2026) | After launch | Stores | SKUs |
|---|---|---|---|---|
| Standard | $99/mo | $119/mo | 2 | 2,000 |
| Growth | $199/mo | $249/mo | 5 | 20,000 |
| Scale | $499/mo | $499/mo | 10 | 50,000 |
A seller doing $1M in GMV pays us the Standard price if they run two stores and under 2,000 SKUs. That same seller pays Prediko $199/mo. Grow to $3M with the same two stores and the same SKUs, and our price stays put while Prediko's moves to $349/mo. Our bill changes when you add stores or SKUs, which you control. Prediko's bill changes when your revenue grows, which is supposed to be the point.
GMV pricing penalizes growth
This is a structural argument, not a nitpick. Software priced on what you sell ties your tooling cost to your top line. Grow 3x and your inventory software bill grows with it, even if your catalog and operational complexity stayed flat.
Software priced on what you use (stores connected, SKUs tracked, sync frequency needed) scales with the operational load you put on the system. A $400K seller with 1,800 SKUs and a $3M seller with 1,800 SKUs use the same resources from us and pay the same price. On Prediko's bands, the first pays $119/mo and the second $349/mo for the same catalog.
If you are below $100k GMV today, $49/mo is a fair deal. But plan for where you will be in 12 months, not where you are now.
When Prediko makes sense
Not every seller needs what we built. Prediko is a reasonable choice if all three of these are true:
- Your store is under $100k GMV, so the $49/mo price applies
- Building FBA shipments yourself in Seller Central is fine, or you do not send stock to FBA at all
- Knowing why it picked a given reorder quantity does not matter to you
That profile exists. A small seller with straightforward demand patterns, Amazon or not, might never hit the walls described above. At $49/mo, the entry cost is low and the onboarding is fast. If that is you, Prediko is fine.
When ReplenishRadar is the better fit
You should look at ReplenishRadar if any of these sound familiar:
You send stock to FBA. A forecast that ends at "you need 400 units" still leaves you rebuilding the shipment in Seller Central. On Growth and up we create the inbound shipment plan in Amazon from the restock you approved; on Standard you get the upload file.
You have been burned by a bad suggestion and could not figure out why. If you have ever looked at a reorder quantity and thought "that cannot be right" but had no way to check the math, transparent forecasting lets you check it the next time.
You want your AI agent to check the math, not just read the answer. Both tools now plug into Claude, Cursor or your own automations over MCP. Ours hands the agent the model and inputs behind every reorder, so it can tell you why a number looks wrong.
You manage 500+ SKUs across multiple suppliers with varying lead times, MOQs, and ordering cadences. The complexity of your operation outgrows a simple reorder tool fast.
Switching from Prediko
There is no painful data migration. ReplenishRadar connects directly to your Shopify store via OAuth, the same mechanism Prediko uses. Your catalog, orders, and inventory sync automatically, usually within a few hours. If you also sell on Amazon, connect Seller Central too, then open any Amazon SKU's forecast and check the inputs behind it.
Run both tools during your 14-day trial. Place a PO or two through ReplenishRadar, compare the suggestions against what Prediko shows. Check which one explains its reasoning. Then decide.
Start a 14-day free trial: connect Shopify in minutes, add Amazon if you have it, and see the math behind every reorder on your actual catalog.
Related Reading:
- Stocky Shut Down: Best Alternatives for Shopify Sellers
- ReplenishRadar vs Stocky
- ReplenishRadar vs Inventory Planner
Sources
Competitor information is based on publicly available data as of the check date on each source below.
- Prediko on Shopify App Store (4.9/5 across 253 reviews and feature listing, checked September 21, 2026)
- Prediko website (product features, Pia AI agent, and the Demand, Supply and Replenishment planning modules, checked October 21, 2026; the Three-Tab System name, checked August 2026)
- Prediko MCP page (MCP live on every plan, works with Claude and ChatGPT, checked October 21, 2026)
- Prediko Amazon integration help article (imports Amazon products, inventory, orders and returns; no inventory push, no POs to FBA, no FBA shipment creation; checked October 2026)
- Prediko pricing page (GMV-based tiers with a published price for every band from $49/mo under $100k GMV to $3,999/mo at $45M to $50M, "Contact Us" only above $50M; multi-store and location support on all plans, checked October 26, 2026)
- ReplenishRadar pricing and features pages
Common Questions
30-day money-back terms. The 90-day payback guarantee is for new paid Standard, Growth and Scale subscribers. Eligibility conditions include connecting a store, completing an inventory sync and acting on an alert or reorder recommendation. Read the eligibility terms.
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