fuzzy

fuzzy — cannabis data visibility

Already monitoring 270,000+ listings across these brands on Dutchie, Weedmaps, and Jane

Tracking field completeness, brand attribution, and revenue impact across 5,000+ retailers in 22 states

Your brand is on thousands of menus.Nobody has a single view. 40% of listings have issues.

Manual entry under pressure

Budtenders type "Grene Crck 420mg flwr 1/4z" into the POS. Misspelled, impossible THC, unparseable weight.

Force-matched or silently created

Systems either match the garbage to a real SKU (polluting data) or invent a new one (phantom inventory).

30+ POS systems, zero standards

Cannabis has no UPCs. Dutchie, Flowhub, Treez, BLAZE, Cova — each with their own format.

500 retailers, 500 naming conventions

Your brand appears differently at every door. Chain reporting fragments. Analytics break.

pos_product_feed.csv — 61,247,893 rows
product_namepos_sourcebrandthcweight
Grene Crck 420mg flwr 1/4zDutchieGrene420mg1/4z
Blue Dream 3.5gFlowhubPacific Reserve24.5%3.5g
OGK PRE ROL 1g indicaBLAZEJngle Boys31%1g
GSC 1/8 flwr hybridTreezCookies281/8
sour diesel cartridge .5Covastiiizy89.2%.5
GGGG#4 FlWR 7gm INDCDutchie???999mg7gm
Wedding Cake Budder 1gMETRCWest Coast Cure78.4%1g
impossible valuesunparseable / misspelledShowing 7 of millions of rows

Bad records pollute analytics, menus, and inventory reports. Most systems don't catch them.

How fuzzy works

1
Menu Visibility

See

One view of every menu, every platform, every state.

We scan live dispensary menus across Dutchie, Jane, and Weedmaps — one source of truth for how your products appear at retail.

  • Brand view — every retailer, platform, state
  • Operator view — field completeness + issue rates across your portfolio
  • Retailer view — revenue at risk by location

Refreshed on every scan.

2
Audits & Cleanup

Act

Turn visibility into action.

Audit scorecards, cross-platform comparisons, and fix queues — hand off to partners or automate with sign-off.

  • Field completeness scorecards — who's missing THC, weight, effects?
  • Revenue at risk by retailer, state, issue type
  • Export audits, open fix jobs, or automate cleanup

Audits are one output. Visibility is the product.

Cannabis data is uniquely broken.

No universal product codes, no industry standards, and 30+ incompatible POS systems — creating a visibility gap that widens with every new dispensary, platform, and state.

No UPCs

No universal product identifiers. Every dispensary names products however they want.

30+ POS systems

Dutchie, Flowhub, Treez, BLAZE, Cova, and dozens more — all incompatible data formats.

Manual data entry

Budtenders type product info by hand under time pressure. Typos, abbreviations, and guesses everywhere.

Regulatory fragmentation

State-by-state rules, post-acquisition platform consolidation (Dutchie acquired Greenbits + Leaflogix), and no industry-wide data standards.

Works with your POS
Dutchie
Flowhub
Treez
BLAZE
Cova
METRC

Built for your workflow

For brands

Multi-state cannabis brands on Dutchie, Jane, and Weedmaps

  • See how your products actually appear at every retail door, across every platform and state
  • Track field completeness, missing images, and wrong categories across hundreds of menus
  • Quantify revenue at risk from listings with broken data or missing attributes
  • One dashboard instead of asking every retailer to pull reports

For retailers & MSOs

Multi-location dispensary chains

  • See exactly which products are duplicated across your locations
  • Flag entries with impossible attributes like 420mg THC on flower or weights that don't parse
  • Get a single consistent catalog that all your stores match against
  • Works with your existing POS: Dutchie, Flowhub, Treez, BLAZE, Cova
The scale of the problem

Cannabis data is uniquely broken

K+

Dispensaries in the US

Each with their own POS creating their own naming mess

+

Incompatible POS systems

Dutchie, Flowhub, Treez, BLAZE, Cova, and more

3-x

More SKUs than real products

Duplicates, typos, and phantom records in every system

+

Hours/week on manual cleanup

Per location, reconciling data across stores

Under the hood

Built for accuracy, not just speed

%

Matching accuracy

Algorithms combined

layers

Resolution pipeline

%+

Avg ghost rate found

Built on AI and infrastructure you can audit line by line

Anthropic Claude

Frontier LLM reasoning on the hardest matches

Five fuzzy algorithms

Jaro-Winkler, Levenshtein, Trigram, Token Set & Sort

PostgreSQL audit trail

Every decision logged, explainable, reversible

Calibrated confidence

Brier-scored predictions — not a black box

Live coverage

Already scanning the cannabis retail ecosystem

M+

Listings monitored

K+

Retailers tracked

+

States covered

Platforms scanned

Dutchie, Weedmaps, Jane

Updated daily from live dispensary menus

The business impact

What invisible listings cost your brand

Your brand is on thousands of dispensary menus across Dutchie, Jane, and Weedmaps. Without one view across all of them, problems compound silently.

K+

Invisible listings for one brand

across 5,200+ retailers in 22 states

WYLD alone has over 18,000 dispensary menu listings with wrong categories, missing brand attribution, or broken product fields. Shoppers searching by brand never see them.

K+

Products invisible to search

across 4 audited operators

Missing brand names mean shoppers can't find these products. Retailers can't track performance. Your sales team can't prove shelf presence.

%

Average issue rate

across 53,000+ products scanned

Nearly 3 out of 4 product listings have at least one visibility issue: duplicates, ghost records, or missing fields that hide products from dispensary shoppers.

Now onboarding design partners

We're looking for design partners

Fuzzy is early-stage. We're working with multi-state cannabis brands, operators, and retailers to validate cross-platform visibility and build the right product.

  • Real problem, real collaboration — not a sales pitch
  • Be first to benefit from a purpose-built solution
  • Built by engineers who understand the data problem

Free pilot

Full platform access at no cost during the partner period

Direct engineer access

Slack channel with the team building Fuzzy — not a support queue

Custom integrations

We'll build connectors for your POS and data stack first

Shape the roadmap

Your feedback directly drives what we build next

30-min intro — no slide deck, straight to your data · We reply within 1 business day

or join the waitlist

No sales emails. We write when there's something worth sharing.