Order Otter Preview analysis · pilot
Step 1 · Your numbers

Tell the otter about your item

Fill in the form below, or download the Excel template, fill it at your own pace, and upload it. No system integration — just your numbers.

The item

What you're ordering and where you stand today.

Timing

How often you buy, and how far ahead each order covers.

Economics ($/unit)

The otter weighs the cost of stocking out against the cost of leftovers.

Demand

Paste weekly history (comma or space separated) — or leave it and use mean/std.

Order rules & candidates

Optional constraints and specific quantities to compare.

Order Otter mascot holding a box Drop your Order Otter Excel here or click to browse — .xlsx
Step 2 · Review

Here's what the otter heard

Give it a once-over. If something looks off, hop back and tweak it.

PACK STATION DROP-OFF

Current step · curious

Exploring the waters

Surveying demand scenarios and scanning what is ahead.

No otters were over-optimized in the making of this recommendation.

Step 4 · Recommendation

Your otter-powered order

Order Otter mascot presenting the recommended order
Recommended order
0 units

Profit & service across order sizes

Where expected profit peaks — and how service level climbs as the otter carries more.

Expected profit Service level Otter's pick

How each order stacks up

Order qtyExpected profitService levelStockout riskAvg ending inv.

🦦 Why this order

    Preview analysis (pilot) — a simplified newsvendor model stands in for the full simulation/optimization engine. Numbers will sharpen when the real solver is wired in.

    Like what the otter found? 🦦

    This is a preview running on a simplified model. We custom-build Order Otter around your real catalog, constraints, and economics — and walk your team through it. No science team required.