The Saturday Afternoon Problem
It is 3pm on a Saturday. Your best-selling item sold out on Thursday and the replacement container lands in nineteen days. Meanwhile, forty boxes of last season's colour are taking up the entire back wall of the storeroom, and you paid for them in March.
Both problems are the same problem. You guessed, twice, in opposite directions.
AI inventory forecasting is sold as the answer to that afternoon. Some of it is. This page sets out what the real options cost in August 2026, what the price differences buy, and the one thing that stops most Hong Kong retailers getting value from any of them.
How Much Does AI Inventory Forecasting Cost in 2026?
Published entry prices run from US$49 to US$349 per month, a spread of roughly seven times, and the full range across tiers reaches twenty times. The gap is not a quality gap. It reflects three completely different billing models sitting in what looks like one category.
These are list prices as published in August 2026. Convert at roughly HK$7.8 to the US dollar.
Prediko (Shopify-focused forecasting and purchasing)
--- Entry band: US$49 per month for stores under US$100,000 in annual revenue, roughly HK$382.
--- Priced in bands by trailing twelve-month GMV, from under US$100,000 up to US$50 million and above. The site's headline figure is "from US$119", so most trading businesses land above the entry band. Unlimited users, SKUs and purchase orders at every band.--- Raw materials and bill-of-materials add-on: US$20 per month, roughly HK$156.
--- 14-day full-featured free trial. Billed monthly through Shopify Billing. Annual plans give two months free.
Cin7 Core (inventory plus order management, with forecasting inside a suite)
--- Standard: US$349 per month, roughly HK$2,722. Includes 5 users, 2 ecommerce integrations and 6,000 annual orders.
--- Pro: US$599 per month, roughly HK$4,672.
--- Advanced: US$999 per month, roughly HK$7,792.
--- Important framing: this price covers inventory and order management, not forecasting alone. Comparing it to a forecasting app on price is comparing a car to a set of tyres.
Inventory Planner by Sage
--- Essentials: US$119.99 per month on the Shopify App Store, roughly HK$936.
--- Standard, Premium and Enterprise are quote-only, priced on your yearly revenue using a formula Sage does not publish. Third-party pricing analyses report a practical floor around US$244.99 per month and enterprise tiers from around US$1,200 per month.
Netstock (ERP-connected forecasting)
--- No published price. Third-party reporting puts small deployments at around US$500 per month, roughly HK$3,900. Treat that as a reported figure, not a quote.
--- Designed for businesses already running an ERP, which is the real gate rather than the price.
Also in the shortlist
--- Katana serves small manufacturers, but its AI demand forecasting is sold as a paid add-on rather than being included in the base plan. Confirm it is in the tier you priced.
--- EazyStock targets SMB inventory optimisation and replenishment. Pricing is quote-based.
Why Do the Prices Differ by Twenty Times?
Because the three vendors are not charging for the same thing. One charges for your revenue, one charges for capacity and users, one charges for a connection to your ERP. Recognising which shape you are being quoted tells you where the bill goes in two years.
Shape one: banded by your revenue or GMV. Prediko and Inventory Planner both scale with how much you sell. The appeal is that a small business genuinely pays a small price. The catch is that your bill rises as you grow even when your SKU count, your user count and the actual work are unchanged. Worse, Inventory Planner's formula is undisclosed, and at least one customer has publicly complained about never getting a clear explanation of how it is calculated.
Shape two: plan tiers with hard caps. Cin7 Core Standard is US$349 for 5 users, 2 ecommerce integrations and 6,000 annual orders. That is predictable, which is valuable. It also means a sixth user or a seventh thousand orders is a tier upgrade, not a small increment.
Shape three: quote-only, tied to a system of record. Netstock does not publish a price because the deployment depends on your ERP. The relevant question is not what it costs but whether your ERP is one it connects to cleanly.
The negotiation line that works on all three: show me this quote at double my current revenue, and put the next two bands in writing. The vendors that will not answer have told you something useful.
Which Question Narrows the Field Fastest?
Ask this before comparing any feature list: do you need a system that runs your orders and warehouse, or do you only need something that tells you what to reorder and when? That single answer eliminates most of the shortlist in about thirty seconds.
If you already have order management you are happy with, and your problem is purely the reorder decision, you are shopping for a forecasting layer. Prediko and Inventory Planner live here, at US$49 to roughly US$245 per month. Buying Cin7 for this is paying for a suite you will not use.
If your orders, stock counts and purchase orders are currently spread across a spreadsheet, an email folder and a POS that does not talk to your website, you do not have a forecasting problem yet. You have a system-of-record problem, and Cin7 Core at US$349 is a reasonable answer to it. The forecast is a by-product.
If you already run an ERP, the answer is almost certainly the tool that connects to it, which is why Netstock exists.
What Does This Cost a Hong Kong Retailer in Practice?
Take a North Point skincare and homeware brand: seven staff, 620 SKUs, one Shopify store plus one retail counter, and about HK$5.6 million in annual revenue. Here is the honest arithmetic, and the subscription price turns out to be the least interesting number in it.
The owner spends roughly five hours a week on reorder decisions, which is checking sales reports, guessing quantities and writing purchase orders. That is about 20 hours a month, or 240 hours a year. Value the owner's time at HK$350 an hour and the business is spending around HK$84,000 a year of attention on the reorder question.
Now the cost of getting it wrong. Global research on inventory distortion, meaning stockouts plus overstock, puts the cost to the retail industry at around US$1.7 trillion in 2026, equal to about 6.2% of worldwide retail sales, with roughly two-thirds of that coming from lost sales to stockouts and one-third from overstock carrying costs. Applied to HK$5.6 million of revenue, the industry-average distortion is around HK$347,000 a year.
Against those two numbers, look at the subscriptions.
--- Prediko entry band: US$588 a year, roughly HK$4,586. Annual billing with two months free brings it to around HK$3,822.
--- Inventory Planner Essentials: US$1,440 a year, roughly HK$11,232.
--- Cin7 Core Standard: US$4,188 a year, roughly HK$32,666.
The widest gap on the shortlist is about HK$28,000 a year. That is real money for a seven-person business. It is also less than a tenth of the distortion figure, and roughly a third of what the owner's own time on the task is already worth.
Which leads to the uncomfortable conclusion this page exists to deliver: do not choose on price. Choose on whether the tool can actually see all of your demand. Because in this example it cannot, and that is the next section.
Where Do the Competitors Win?
A comparison where one product wins every row is an advertisement. Here is where each of these tools is genuinely the right answer, including the cases where none of them is.
Prediko wins on price and on seat policy. Unlimited users, SKUs and purchase orders at every band means a three-person team all needing access pays once. For a Shopify-only brand under US$100,000 revenue, US$49 is the cheapest credible entry in the category, and the 14-day full-featured trial lets you test on your real SKU list rather than a demo dataset.
Inventory Planner wins on maturity and vendor weight. It is Sage-backed with a long track record, which matters more than buyers expect when you are committing your purchasing process to a third party for years.
Cin7 wins outright if you need one system. Buying a forecasting app, a separate order manager and a separate warehouse tool almost always costs more in total and syncs worse than one suite. If your stock counts and your website disagree today, Cin7's US$349 is not expensive, it is the price of the problem you actually have.
Netstock wins if you already run an ERP. A forecast is only as good as its link to the system holding the truth. If that system is an ERP, buy the tool built to read it.
Katana wins for small manufacturers with a bill of materials, provided you verify that demand forecasting is included in the tier you priced rather than sitting behind the add-on.
And none of them wins for a typical Hong Kong shop. Every tool on this list is built around either Shopify or an ERP. A great many Hong Kong retailers and wholesalers take a large share of their orders at a physical counter on a local POS, or through WhatsApp threads with restaurant and trade customers. None of these tools can see that demand. Buy one anyway and you have bought a forecast for part of your business, while still guessing on the rest. There is also no vendor here treating Traditional Chinese product data as a first-class concern.
What Can None of These Tools Do?
Five limits apply to the whole category regardless of which vendor you pick. Each one has ended a deployment somewhere.
It needs history. Useful forecasting generally wants around twelve months of clean per-SKU sales history. A product launched last month, a one-off seasonal buy or a brand-new range gets you nothing better than your own judgement, which is exactly where the guessing hurt most.
It cannot fix supplier lead-time variability. For Hong Kong importers this is often the actual problem. A forecast built on a 30-day lead time, applied to a factory that ships in 51 days, produces a stockout precisely on schedule. Fixing the reorder point does nothing if the variable that moves is the supplier.
It inherits your data quality. If the system says 14 units and the shelf has 9, the forecast is confidently wrong. Two locations plus manual transfers is where this breaks most often, and it breaks silently.
Revenue-banded pricing charges you for growing. Your bill rises with GMV even when SKU count and workload are unchanged, and at least one vendor on this list does not publish the formula. Get the next two bands in writing before signing.
The AI you priced may not be in the plan you priced. Katana sells demand forecasting as an add-on. Cin7's cheapest tier caps users at 5 and annual orders at 6,000. Read what each tier excludes, not what the marketing page includes.
Which One Should You Actually Buy?
A verdict per buyer type, including two cases where the correct decision is to buy nothing. If the honest answer is a spreadsheet, this page should say so.
--- Under about 200 SKUs, one location, fewer than roughly 40 reorder decisions a month: buy nothing. A spreadsheet with a reorder-point column and a 30-minute review every Monday will beat any subscription at that volume. You would be buying tidiness, not margin.
--- Shopify-only, under US$100,000 annual revenue: Prediko at US$49. Use the 14-day trial on your genuine SKU list and check the forecasts against what you would have ordered yourself.
--- Sales split between an online store and a counter the tool cannot read: buy nothing yet. Solve where your sales data lives first. A forecast covering 60% of your demand will still leave you guessing on Saturday afternoon.
--- Already running an ERP: Netstock, and get the written quote before you fall in love with the dashboards.
--- Stock counts, orders and purchase orders currently scattered: Cin7 Core Standard at US$349, and accept that you are buying a system of record, not a forecast.
--- Small manufacturer with a bill of materials: Katana, or Prediko plus its US$20 BOM add-on, after confirming forecasting is in your tier.
When Is UD the Wrong Thing to Buy?
UD's AI Staff Solution is not an inventory system and is not sold per seat. If your question is simply what to reorder, buy the HK$382 forecasting app and put the difference into stock. Saying so costs us a sale and saves you a bad year.
UD becomes the relevant purchase at a different threshold: when the repetitive work around inventory runs to several hundred tasks a month. In practice that looks like re-keying supplier invoices and packing lists into a system by hand, chasing three suppliers weekly for shipment dates, keeping bilingual product data in sync across a website and two marketplaces, or reconciling stock across three channels manually every Monday.
Below a few hundred repetitive tasks a month, a subscription wins on economics. The honest first step is not a demo. It is counting the tasks.
A Five-Day Plan to Decide by Friday
You can close this decision in a working week without a consultant. The steps are ordered so that the cheapest disqualifying question comes first.
--- Monday and Tuesday. Work out what share of your sales the tool could actually see, and count last month's real reorder decisions. Under 80% coverage, or under 40 decisions at one location, and you stop here.
--- Wednesday and Thursday. Start the Prediko 14-day trial on your own SKUs, ask every quote-only vendor for its price at double your revenue in writing, and compare the suggested orders against ten decisions whose outcome you already know.
--- Friday. Pick, or decide honestly to buy nothing this quarter. Both are results.
The Bottom Line
The cheapest tool here is US$49 a month and the dearest is US$999. For a typical Hong Kong retailer, neither number is the decision. The decision is whether the tool can see all of your demand, whether your stock counts are true, and whether your suppliers ship when they say they will. Fix those and a HK$382 subscription earns its keep. Skip them and a HK$7,792 one will not.
That kind of unglamorous sequencing is what twenty-eight years in Hong Kong teaches you, and it is the part most vendors leave out of the demo. We understand AI. UD stands with you.
Not Sure Which Work Should Be Automated First?
If the honest answer to your inventory problem is a HK$382 app, buy the app. If it turns out to be several hundred repetitive tasks a month, that is a different purchase. A short matching session sorts out which one you are looking at, and we will walk you through it step by step.
Related reading: what AI grounding is and why it matters for accurate answers, how AI credits change your software bill, and what HubSpot, Zoho and Pipedrive really cost. Vendor pricing pages: Prediko and Cin7.
Reviewed by the UD AI team, Hong Kong. Prices verified against vendor pricing pages and third-party pricing analyses on 11 August 2026, and are subject to change. This article is general information, not financial or legal advice.
