We write cannabis reorders. Your reps go sell.
HQ turns retailer sell-through into approval-ready orders for the accounts you already have. Answer three questions and see what order admin is costing your team right now.
Cannabis brands and operators working with HQ
Case StudyHelping Punch with orders from two of the largest California retailers
Premier Group · average order size
Before HQ → with HQ · a 73% sales increase
Same buyer. Same reps. Same shelf space. 73% more revenue per order.
HQ took the reorder math off Punch's sales team and gave it back as approval-ready orders. We turn retailer sell-through data into suggested orders your buyers can actually approve.
“This service is worth it just for building out Premier Group orders.”
Sam · Punch
in past 90 days
in past 90 days
Your reps are not selling. They are doing spreadsheet math.
Reorders are the most predictable revenue a brand has, and they are buried under the least enjoyable work on the team. So the accounts that get attention are the ones that shout, and the rest quietly under-order.
Every line comes with a reason.
This is the difference between a reorder report and a reorder your buyer signs off on. Not a number a system guessed at, but a quantity with the arithmetic attached, ready for your rep to send.
Already on the shelf, and it hit a restock condition: either a trigger point you set, or not enough units to cover the forecast period at its current sales velocity.
The store is carrying fewer distinct SKUs of a category than the par level you agreed, and this one is not already there.
Something needed restocking but you are out of it. Substituted using the priority rules you approved, usually within strain type.
Those are the only three reasons a product can land on an order. Nothing gets added because someone needs to hit a number.
Our workflow is four simple steps.
Building the orders takes under an hour. The script that writes them accounts for ten seconds to four minutes of that, depending on how many stores are in the chain. The rest is preparation.
Use any data source
Headset, Hoodie Connect, or a raw POS export. We prefer Headset where you have it, because it reports average sales while in stock, the cleanest velocity signal available in cannabis.
We never build off a reorder report. They are wrong most of the time.
Clean it and map it
Two layers. Category mapping puts every product in every store into your catalog structure. Then the alias map connects what the store calls a product to what you call it, across every spelling variant we have ever seen.
This is the part that is done by hand, on purpose. More on that below.
Build the reorder logic
Par levels per category per store, trigger points for the SKUs you want on shelf regardless of velocity, coverage math that accounts for your lead time and delivery cadence, and substitution rules for out-of-stocks. Rounded to case size.
Product in transit is counted as already in store, so nothing gets double-ordered.
Send it back to your rep
A store-level order with a justification on every line, plus a workbook your rep can forward straight to the buyer. Your rep approves, edits, or adds their own upsell. Then HQ can enter the approved order into your system.
Or straight to the buyer, if that is how you want to run it.
We do not use AI to map your products.
Retailers create a new product shelf every time they restock instead of adding units to the existing one, so duplicates pile up. Metrc rollouts break normalization. Strain names arrive abbreviated, misspelled, or not at all. We have seen a product name that was nothing but emoji.
Automation gets you most of the way. It also silently invents duplicate SKUs, and an order built on those tells your buyer to double-stock something already sitting in their back room. So the mapping layer is done by an analyst against a name-variation database we have been building for years, and the arithmetic runs on scripts we wrote for your account.
That is the biggest work of the process. We are mapping products, and it is not AI. AI does not work there. That is why we have such a high accuracy with our orders, because we are not assuming. We map it exactly to what it is.
What it looks like across the book.
Punch is the account we can show you in full. The pattern underneath it is the same everywhere: reorders get written on time, so the accounts you already have stop quietly under-ordering.
Built by people who ran this job.
HQ has been cannabis-only for about seven years, with roughly 120 people across sales, finance, marketing, and operations. Inside Sales was designed by a former brand-side VP of Sales who spent a decade watching reps lose their week to spreadsheets.
Keep your best reps selling
Move order admin, replenishment, and lower-priority prospecting off your core sales team so they can focus on high-value accounts and relationships.
Capture revenue across the whole funnel
Keep incoming orders moving, existing accounts replenished, and new opportunities progressing, without letting limited internal bandwidth leave revenue on the table.
Extend your team without adding headcount
Add support where you need it, from backend order management through to customer-facing sales activity, without building every function internally.
And what we deliberately do not do
Worth saying out loud, because it is why buyers trust the order.
Live in a week. Dialed in by the third run.
Setup is the real work, not the ongoing service. Once your account is mapped, producing an order takes minutes.
Scope and account selection
We pick the starting accounts together and stagger them. Most clients begin with four to five, then build toward twenty-five. Where HQ already runs your AR, we screen candidates for order size, consistency, and whether they actually pay.
Sales rep sync and SOP
We learn your rep’s processes, key accounts, communication preferences, and substitution rules, then write an SOP per account so nobody has to answer the same question twice.
Mapping and par levels
Categories defined from your catalog, products mapped into the alias map, par levels proposed from what is actually sitting in each store today. You edit them. About three retail chains per brand fit in this window.
Tuning
Your analyst walks you through why each order is what it is. It usually takes about three runs to get the parameters where they need to be. After that it is routine.
Lift review
Ninety days is the honest window to measure revenue lift against your baseline. Month to month throughout, so there is nothing to unwind if it is not working.
What we need from you
Short list, and the first item is the one that matters. We only work accounts where the retailer shares data.
Flat monthly fee, scoped to the number of brands and orders. No commission, no per-order charge, month to month. Most engagements start as a pilot on a handful of accounts. Pricing on the call.
The questions everyone asks.
Scaling, pricing, rep pushback, buyer trust. If yours is not here, Jennifer will answer it on the call.
Talk to an Inside Sales expertPick a time. Bring one account.
Thirty minutes with Jennifer. Bring one retailer you think is under-ordering and you will leave knowing whether their data supports it, what a pilot would cover, and what it would cost.
