In cannabis, a day is a lifetime. A competitor entered your account this morning. A high-fit store added your category at lunch. By the time your daily report lands tomorrow, the window has closed. CannaiQ sees it happen — and tells you what to do about it.
You know a product is out of stock. But how many units sold before it went OOS? Binary present/absent doesn't tell you velocity. Inventory deltas do.
"These stores don't carry your brand." That's a list, not a strategy. Which of those stores actually fit? What's the competitive density? What's the category strength?
You won 8 new placements this month. How many came from your platform's recommendations? Without attribution, you can't prove ROI. You can't justify the spend.
Both platforms observe dispensary shelves. The difference is what happens after. One gives you data to analyze. The other gives you actions to take.
| Capability | Hoodie | CannaiQ | Verdict |
|---|---|---|---|
| Speed & Coverage | |||
| Shelf updates | Daily | Continuous | Always current |
| Dispensaries observed | 9,000+ (US only) | 11,000+ (US + CA + PR) | Broader |
| POS required | No | No | Same |
| Intelligence Quality | |||
| Sales velocity | Cart simulation estimates | Inventory-delta velocity | Measured, not modeled |
| Out-of-stock detection | Binary (present/absent) | Quantified inventory deltas | Units, not yes/no |
| Pricing | Product-level | Rec, med, and promo prices separately | More granular |
| Product presence | Binary | Present + quantity + price + on-sale | Richer per SKU |
| Market share | Menu-derived | Menu-derived + revenue estimation | Extends further |
| Competitive benchmarking | Pricing vs competitors | Pricing + SKU count + promo activity | Deeper |
| Shelf presence | Store count over time | Coverage %, net change, velocity ranking | Match |
| Sales forecasting | Cart simulation | Inventory-delta projection | Measured, not modeled |
| Store demographics | Geofencing | Census-based | Different source |
| Custom territory management | ✓ | ✓ Growth+ | Match |
| Custom store tagging | ✓ | ✓ Growth+ | Match |
| Brand catalog / SKU normalization | Brand Catalog | ✓ Enterprise | Match |
| Seasonal analysis | Not available | ✓ Growth+ | CannaiQ only |
| New product launch scoring | Not available | ✓ Growth+ | CannaiQ only |
| Like-store benchmarking | Not available | ✓ Retailer+ | CannaiQ only |
| Action Layer | |||
| Expansion targeting with scoring | Not available | Scored + explained | CannaiQ only |
| Competitive threat alerts | Partial | Real-time, full context | CannaiQ only |
| Lost placement context | Not available | Who replaced you + pricing | CannaiQ only |
| Win attribution | Not available | Automatic ROI tracking | CannaiQ only |
| Prioritized action queue | Not available | Daily priorities | CannaiQ only |
| Other Products | |||
| Inventory sync / ordering | Hoodie Connect | Not available | Their advantage |
| Consumer store locator | Where-to-Buy | findadispo.com | Different approach |
| Cell phone geofencing (foot traffic) | ✓ | No | Their advantage |
Hoodie's geofencing tracks anonymized phone signals to estimate how many people walk into each dispensary, how long they stay, and whether they come back. It's clever. It's also dependent on a proprietary data source that has nothing to do with what you actually sell.
CannaiQ measures the same outcome from the shelf: if a store had 20 units and now has 8, people bought 12. You don't need to track their phones to know that. Our inventory-delta velocity is measured from the product, not estimated from foot traffic. For your sales team's purposes — knowing where to sell and where to defend — the outcome is the same.
If you need to know the demographic profile of each store's customer base, CannaiQ uses public census data cross-referenced against store locations. Not individual-level phone data. But it tells you the same strategic story: this store is in a high-income area with an older demographic, or this store is near a university and skews young. Same insight. No privacy concerns.
Knowing you're in 189 stores is useful. Knowing which 47 stores you should be in next — ranked, scored, and explained — is what grows revenue. Your sales team doesn't need another dashboard. They need a prioritized list of what to do this week.
Daily shelf data. Binary OOS. No action layer.
Real-time intelligence. Scored targets. Threat alerts. Win tracking. Action queue.
Two new placements per month and it pays for itself. Everything after that is margin.
We both watch the shelf. The difference is what happens next. One platform gives you data. The other gives you a to-do list, a defense plan, and proof it's working. Your competitors are acting on real-time intelligence. What are you waiting for?