Inventory by store type

Inventory management for Shopify honey brands

Honey stores live and die on variant mix: floral source, jar size, raw versus creamed, and gift sets all sell at different speeds. Getting reorder timing right across that mix is harder than it looks once you are juggling several suppliers and seasonal spikes.

The inventory problems honey brands run into

  • Variant sprawl. A single honey line can split into wildflower, manuka, clover, and orange blossom, each in 8oz, 16oz, and 32oz jars, so you are tracking dozens of SKUs that each sell at a different pace.
  • Crystallization and shelf life. Raw honey can crystallize and some blends list best-by dates, so older jars need to sell first and you cannot just order the cheapest case pack without thinking about turnover speed.
  • Glass jar and packaging lead times. Jars, lids, and printed labels often come from separate suppliers than the honey itself, so a delay in one component can hold up a finished, sellable product even when the honey is ready.
  • Gift set and bundle timing. Boxed gift sets and sampler trios need components to arrive together before a holiday rush, which means backing into order dates for each ingredient separately.
  • Beekeeper and co-op supply variability. Small apiaries and co-ops can have inconsistent harvest yields year to year, so last year's reorder quantities are not always a safe guide for this year.

Seasonality and demand

Honey sees a strong lift from October through December for gift giving, often in gift sets and smaller jars, and another bump in spring around allergy season when raw local honey gets marketed for that purpose. Farmers market and fair season in summer can also drive spikes for brands that sell wholesale or do pop-ups. Because honey does not spoil quickly like fresh food, you can build safety stock ahead of these peaks, but you still need to order raw honey and packaging early enough that case pack minimums and supplier lead times do not leave you short right before the holidays.

Suppliers, lead times and minimums

Suppliers usually fall into three groups: local beekeepers or regional co-ops selling bulk honey by the drum or pail, honey packers or blenders who handle larger volume and private label runs, and separate packaging suppliers for jars, lids, labels, and gift boxes. Local beekeeper lead times can vary with harvest timing and weather, while overseas or large packaging suppliers often take several weeks. MOQs for bulk honey are often set by pail or drum size, and packaging MOQs are usually set by case pack, so your order quantities need to round up to whatever unit the supplier actually ships.

Worked example

Say your 12oz Wildflower Honey jar sells 6 units a day on average. Your beekeeper supplier has a 2 week lead time, and you keep 4 safety days, so your reorder point is 6 x (14 + 4) = 108 jars. You want 21 days of cover on top of lead time, you have 60 jars on hand and 0 on order, so order quantity is 6 x (14 + 21) - (60 + 0) = 150 jars. If the supplier ships in cases of 24, you round up to 7 cases, or 168 jars, to meet the minimum case pack.

Try it with your own numbers in the reorder point calculator, or size your buffer with the safety stock calculator.

A simple system to start this week

  1. List every variant separately, including jar size and honey type, so forecasts are not blended across different sellers.
  2. Set a realistic lead time for each supplier, including separate lead times for jars, labels, and boxes if they come from different vendors.
  3. Build in extra safety days around October to December and again in early spring for seasonal demand.
  4. Confirm each supplier's MOQ and case pack size so suggested order quantities round up correctly instead of leaving you short.
  5. Track crystallization or best-by dates yourself outside the app and sell older batches first.
  6. Review the weekly reorder email and approve purchase orders early enough to clear packaging lead times before gift season.

How SteadyShelf fits honey brands

SteadyShelf forecasts each jar size and honey type as its own variant, tells you when to reorder from each supplier based on their lead time, and rounds suggested quantities to case packs and MOQs, then emails the purchase order once you approve it. It does not track lot numbers, batch codes, or best-by dates, so you still need to manage crystallization and shelf life manually, for example with a simple first-in-first-out rule on your shelf. It also does not handle bundle components like gift sets as a single build, so you need to order jars, boxes, and inserts as separate line items.

$29/month flat, unlimited products and suppliers, 30-day free trial.

SteadyShelf is launching on the Shopify App Store. Join early access to get the install link first.

More: inventory management by store type · inventory glossary · Stocky alternatives

FAQ

Can SteadyShelf track expiry or best-by dates on my honey jars?

No. SteadyShelf does not do lot or batch tracking. It forecasts sales and reorder timing per variant, but you need to manage best-by dates and stock rotation yourself, for example by marking older batches and selling them first.

I sell gift sets with a jar, box, and ribbon all sourced separately. Does SteadyShelf build those for me?

No. SteadyShelf does not do bundles or kitting. You will need to forecast and reorder the jar, box, and ribbon as separate SKUs, then assemble the gift set yourself, but SteadyShelf will still tell you when each component needs to be ordered based on its own lead time.

My beekeeper supplier only ships in 5 gallon pails and my jar supplier ships in cases of 48. Can SteadyShelf handle different minimums for each?

Yes. You set the case pack or minimum order quantity for each supplier and SKU, and SteadyShelf rounds the suggested order quantity up to match, whether that is a pail size for bulk honey or a case count for jars.

Let SteadyShelf do this math for every SKU

Order-by dates per supplier, seasonal forecasts and draft POs for your Shopify store. $29/month after a 30-day free trial.

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