ReplenishRadar vs Prediko: Transparent Forecasting vs Black Box

I want to say 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 is growing fast, and there is a reason

Shopify deprecated Stocky. Delisted it in February 2026, full shutdown August 31. Prediko has been capturing that migration wave aggressively - their Shopify App Store reviews jumped from 202 to 210 in two weeks. If you are a Stocky user looking for a replacement, Prediko is probably on your shortlist.

I get it. 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 suggestion ReplenishRadar generates traces back to your data. Click any recommendation and you see which forecast model was selected, the demand pattern classification, input velocity, lead time, safety stock calculation, and whether seasonality affected the number. Every parameter is visible. Every parameter is adjustable.

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.

I have talked to sellers who ran Prediko for six months and still could not explain why it suggested 300 units of a SKU that was clearly seasonal. Was it accounting for the season? Was it using a trailing average? Was it weighting recent weeks more heavily? Nobody knows. That is not a minor complaint. That is a structural gap in how you make purchasing decisions worth tens of thousands of dollars.

Where Prediko falls short

Shopify only. If you sell on Amazon - even as a secondary channel - Prediko cannot see that demand. Your Shopify forecast runs in isolation while your Amazon sales eat into the same inventory pool. I have watched sellers double-order because their Shopify tool did not know about Amazon velocity, and I have watched sellers stock out on Amazon because their planning tool literally could not see those sales.

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.

Closed AI. Prediko recently launched Pia, a built-in chatbot. It is a conversational wrapper over Prediko's existing data - not a new forecasting engine. It talks to Prediko's data through Prediko's interface. That is one AI, one way, locked inside their platform.

ReplenishRadar takes the opposite approach. We expose 49 MCP tools that work with compatible agents and workflow tools: Claude Desktop, OpenClaw, custom Python scripts, n8n automations. You pick the AI. You control the prompts. You own the workflow. Agent access starts on Standard, Growth adds sensitive tool groups, Scale raises the rate limit, 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, first-class	None
FBA inbound plan creation	Yes, through Amazon	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 package, 49 tools, works with compatible agents	Pia chatbot, locked to platform
Multi-store support	Multiple Shopify + multiple Amazon accounts	Multiple Shopify stores
Pricing	Public: $99 / $199 / $499 per month	$49/mo under $100k GMV; higher tiers require contact
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, and I will not pretend otherwise. But above $100k GMV the price is "contact us" - meaning it scales with your revenue, not your usage.

ReplenishRadar publishes every tier:

Tier	Price	Stores	SKUs
Standard	$99/mo	2	2,000
Growth	$199/mo	5	20,000
Scale	$499/mo	10	50,000

A seller doing $1M in GMV pays us $99/mo if they run two stores and under 2,000 SKUs. What that same seller pays Prediko is unknowable without a sales call. Our bill changes when you add stores or SKUs - things 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 $500K seller with 1,800 SKUs and a $2M seller with 1,800 SKUs use the same resources from us and pay the same price. With GMV pricing, the second seller subsidizes Prediko's margins on the first.

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

I am not going to pretend every seller needs what we built. Prediko is a reasonable choice if all three of these are true:

• You sell exclusively on Shopify with no Amazon channel
• You are a single-store seller under $100k GMV who needs basic reorder suggestions
• You do not need to understand why a specific reorder quantity was recommended

That profile exists. A Shopify-only seller with straightforward demand patterns and modest revenue might never hit the walls I 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 sell on both Shopify and Amazon. Or you plan to. The minute Amazon enters the picture, a Shopify-only tool creates a blind spot in your demand data.

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 solves that permanently.

You want your AI tools to work together. If you are already using Claude, Cursor, or building automations, ReplenishRadar's MCP package fits into your stack. Pia does not leave Prediko's walls.

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 - same mechanism Prediko uses. Your catalog, orders, and inventory sync automatically within an hour. If you also sell on Amazon, connect that too and see unified demand for the first time.

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, see transparent forecasting on your actual catalog.

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Related Reading:

• Prediko Alternative: Multi-Channel Inventory
• Stocky Is Shutting Down: Best Alternatives for Shopify Sellers
• ReplenishRadar vs Stocky
• ReplenishRadar vs Inventory Planner

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Sources

Competitor information is based on publicly available data as of May 2026.

• Prediko on Shopify App Store (reviews and feature listing, checked May 2026)
• Prediko website (product features and Pia chatbot, checked May 2026)
• Prediko pricing page (GMV-based tiers, checked May 2026)
• ReplenishRadar pricing and features pages