AI Replenishment
Turn your sales data into
context-aware replenishment
Get a 12-month forecast and a ready-to-approve order based on your sales history and the real-world context only you know.
-55%
fewer late orders for Katana customers using planning tools, compared to those who don’t.
Automate end-to-end replenishment
Go from demand forecast to a drafted PO or MO in one flow, with the right supplier and location set. No manual steps.
Talk to your data in real time
Add what the numbers miss, like a supplier delay, in plain language. The forecast rebuilds around your input.
Get the why to every number
See exactly how each figure was calculated, per item. If you want to dig deeper into a recommendation, the logic is right there.
what it is
Go ahead of demand,
automatically
Know what to reorder and when, based on your sales history and the real-world context only you know. Get a 12-month demand forecast, a safety stock recommendation, and a drafted PO or MO in a single flow – with no manual steps in between.
- Stay ahead of stockouts and overstocking: reorder the right amount at the right time, and protect customer trust and business stability
- Get context-aware recommendations: add what the numbers can’t show, like a supplier delay or an upcoming campaign, and the forecast adjusts around it
- Close the full loop: every recommendation arrives as a draft PO or MO with supplier and destination already set, ready to approve
HOW IT WORKS
Pick a product, get a complete replenishment plan in seconds
Katana’s AI Replenishment reads straight from your Katana account, with nothing to set up or import first, and works the way you already plan.
Step 1: Pick a SKU, or up to 50
Plan a single product or a whole supplier’s catalog at once, filtered by supplier or ABC class. The multi-SKU runs process in the background, and streams results as each item completes.
Step 2: Get a 12-month forecast in seconds
The AI reads 13 months of sales history, stock, open orders, lead times, and costs, then builds three order scenarios: minimum, recommended, and maximum. Each includes safety stock, reorder point, and days of stock remaining, explained in plain language.
Step 3: Add the context only you know
Type your company’s current context – like an upcoming campaign, a supplier delay, or a one-off spike worth ignoring – and the forecast rebuilds around your input, with every adjusted number flagged so you can see what changed.
Step 4: Act, without leaving Katana
Turn any recommendation into a draft PO or MO in Katana’s approval flow in one click. You can also pre-plan a future order, write updated safety stock straight to the SKU record, or share a read-only plan with your team before a buying meeting.
SUCCESS STORIES
1,500+ product businesses scale
their operations with Katana
Found Surface scales textile manufacturing with Katana
Hornby Organic improves production efficiency by 100%
Frequently asked questions
AI replenishment is a Katana feature that analyzes your sales history, inventory, and open orders to automatically generate a demand forecast and reorder recommendation per SKU. Traditional replenishment relies on manually checking stock and guessing quantities in spreadsheets; AI replenishment works directly off your existing Katana data and produces a recommendation in seconds.
It analyzes up to 13 months of sales history (6 months minimum) plus current inventory and open orders, then outputs a 12-month demand forecast, three order scenarios (min/recommended/max), and key metrics like reorder point and safety stock. You can run it on one SKU or batch up to 50, add business context the AI can’t see (e.g., a promo), and create a purchase/manufacturing order in one click.
Less manual forecasting, faster decisions (~10 sec/SKU), fewer stockouts/overstock thanks to the min/recommended/max range, built-in seasonality awareness, and one connected flow from forecast to purchase orders/manufacturing orders — all inside Katana.
Accuracy is grounded in real data and improves the more sales history it has, with 6+ months as the baseline and a full 13 months for the sharpest picture of seasonality and trends. Every recommendation comes with a plain-language explanation of the reasoning, and you can feed in context the algorithm can’t see on its own (a promo, a competitor shift) so it adjusts accordingly.
Yes. It’s built for SMB manufacturers with multi-SKU, seasonal, or variable demand. No separate forecasting tools or data science needed, it scales from a single SKU to 50+, and runs on a flexible cadence.
No. It reads directly from your Katana account — sales history, inventory, open POs and MOs. You need at least 6 months of sales data for accurate results.
A 12-month demand forecast with seasonal detection, three order scenarios (min / recommended / max), and AI-calculated safety stock and reorder point, with a plain-language explanation for every number.
A built-in chat that lets you add context the algorithm can’t know, like a supplier delay, a marketing push, or a spike it should ignore. The forecast updates instantly. Changes apply to the current session only.
Yes. Select 2 to 50 SKUs and run them as a batch. You get item-level recommendations, a combined draft PO, and a shareable read-only report link valid for 30 days.
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