Tell Sage a bit about your business and your products, and get a clear, actionable forecast for how much to keep on hand or start growing.
⚠️ Important: Inventory forecasts generated by Sage are based on the data you provide. Actual results will vary based on performance, conditions, and market demand. Use this as a planning aid alongside your own judgment and records.
Step 1 — Your Business
Which best describes your business?
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Greenhouse Grower
Container production
🌳
Nursery Grower
Container or field production
🏪
Garden Center Retail
Buying and reselling stock
Step 2 — Product Category
Select your category or categories — click more than one if you're forecasting several. Add a specific variety for greater accuracy.
🌸
Annual
🌼
Perennial
🌱
Biennial
🌳
Woody Tree or Shrub
🎀
Tropical or Houseplant
🌿
Bulb Corm or Tuber
🌿
Herb
🥦
Vegetable or Edible
🎄
Poinsettia
💜
Mum or Chrysanthemum
✏️
Other or Specialty
🌿 Different varieties can vary by 1-3 weeks in production time. The more specific you are, the more accurate the output.
ContainerFieldBoth / Transitions Between
Step 3 — Target Volume
If you selected more than one category above, list each separately — e.g. Annual: 500 units, Perennial: 300 units.
Step 4 — Loss Rate, Orders & Context
I know my typical loss rateI need Sage to estimate itI have historical data to share
🌿 Include all losses across the entire crop cycle from propagation through sale. If you selected multiple categories, list a rate for each — e.g. Annual: 8%, Perennial: 5%.
🌿 Field-grown or multi-year stock often accumulates loss over more than one season — let Sage know the timeframe so the rate makes sense.
🤖 Sage will estimate a typical loss rate for this category based on industry benchmarks. The estimate will be clearly shown so you can adjust it.
✨ List as many categories as you need — Sage will calculate and forecast each one. (You can also attach a file below for your own reference, but please paste the actual data here, since Sage doesn't read file contents.)
Optional: attach a file for your own records
Excel, CSV, Word, PDF, or TXT accepted
A 10% buffer is common in the industry. Adjust based on your risk tolerance.
📊 Estimated starting quantity:
Confirmed customer ordersProjected / historical demandMix of confirmed and projected
Optional: attach a file for your own records
Excel, CSV, Word, PDF, or TXT accepted
A file can be attached for your own reference, but Sage only reads what's pasted in the box above.
✨ Short notes work great — Sage will use this context to validate your forecast.
📅 Use whatever time unit fits your operation — weeks for container crops, seasons or years for field-grown stock.
v Add pricing for revenue projection (optional)
📈 If pricing is provided, Sage will include projected gross revenue and estimated margin in the forecast.
✨ Bullet points work great — Sage will factor all context into the forecast.
Step 5 — Output & Options
What do you need Sage to generate?
Full Inventory Forecast default
Complete forecast with recommended start quantity, staged loss estimates, and procurement guidance.
Quick Start Quantity
Just the recommended starting number with the math shown — fast and easy to adjust.
Revenue Projection
Projected gross revenue, estimated margin, and break-even units — requires pricing in Step 4.
Scenario Comparison
Three scenarios — conservative, base, and aggressive — with trade-offs for each.
How would you prefer Sage to deliver this?
🖶 Structured Document
Table-based forecast for printing or pasting into your planning spreadsheet
💬 Conversational Response
Sage walks through the forecast and explains the reasoning in plain language
📋 Both
Structured forecast table followed by a plain-language explanation
🤖 If your inputs are incomplete, Sage will ask follow-up questions first. For accurate results, Sage may need additional details before generating the full output. Answer follow-up questions in the chat for the best results.
💡 Reminder: Validate all timing, rates, and recommendations against your own history and local resources before implementation.
Sage is here to help, but always give your output a quick review. Sage's guidance is based on general industry parameters and should be validated against your own records, local extension resources, and applicable regulations before implementation.