Your UPC scans at checkout. That doesn’t mean your bottle is discoverable, comparable, or trusted in the next layer of commerce. In 7 days, we diagnose where you stand and what to fix first.
5.0
Trusted by 40+ craft brands
The Visibility & Trust gap
A UPC that scans answers none of them.
When a shopper asks ChatGPT for “a sustainably-made craft bourbon under $50,” the assistant reads structured product data, not your label. If your data isn’t in the right shape, the question never reaches your bottle.
Buyers, marketplaces, and AI tools compare brands across category, origin, style, price, occasion, provenance. If your competitor’s data is cleaner and more complete, they are more likely to show up in those comparisons while your bottles are left out.
Provenance, authenticity, batch detail, age claims, sustainability certifications. Without complete, consistent data behind the bottle, the trust signals retailers and consumers look for aren’t there to be found – and the post-scan experience falls flat.
Purchasing decisions are shifting from human to machine. AI agents are already live in the market – searching for products, comparing options, and executing transactions on behalf of consumers.
They read your bottle through structured product data. If your data isn’t found, compared, and trusted at that layer, the transaction never reaches you. A UPC that scans at checkout is the floor – the ceiling is product identity that’s complete, comparable, and trusted across every layer of commerce a craft spirits brand will now meet.
Both retailers have moved their product catalogs onto Google Gemini and Microsoft Copilot. The catalog now lives inside the AI agent’s context – not behind it.
Live with brands like Glossier and Spanx. The agent finds, compares, and checks out inside the chat – without leaving the conversation. Brands without clean structured data don’t get surfaced.
Mastercard has demonstrated a complete agent-led purchase – search through secure payment, end to end, without human involvement. The infrastructure for agentic spend is already in place.
When the bottle is scanned in-store or at home, the data behind the code decides what the consumer sees – provenance, batch detail, age verification – or a dead link.
Reading structured product data today







And many other invest billions into AI
The Visibility & Trust gap
What This Gets You
The audit answers one question: when AI tools, retailers, and consumers compare your bottle against competing alcohol brands, is your data helping you get found and chosen – or making you harder to understand?
Fixed scope, fixed fee, fixed 7-day timeline. You walk away with a written report, a competitor benchmark you can put in front of a buyer, and a roadmap your team can act on by Monday.
The 30-min call is a fit check, not a pitch. We walk you through scope, answer questions, and confirm whether the audit makes sense for your brand. If it doesn’t, we say so on the call.
5.0
Trusted by 40+ craft brands
Got their bottle ready to be found, compared, and trusted in the next layer of commerce.
A written report with a clear view of where your product data stands, how it compares against competing brands, and what to fix first. Yours to act on, with us or without. The roadmap prioritizes fixes by impact on discoverability, comparability, and trust.
5.0
Trusted by 40+ craft brands
Got their bottle ready to be found, compared, and trusted in the next layer of commerce.
We map where product data is created, used, and passed between teams – from product design and supply chain to manufacturing, marketing, sales, and order-to-cash.
We identify who creates, edits, approves, and owns product data, and where responsibility is unclear.
We show where your bottle-level data lives, where it is duplicated or inconsistent, and whether there is one reliable source of truth.
We assess whether your GS1 records are complete enough to support trusted identification, AI discovery, and Verified by GS1 readiness.
We compare your product data against three relevant competitors to show whether your brand is easier or harder to find, compare, and trust.
You leave with a roadmap showing what to fix now, what can be handled internally, and what implementation path makes commercial sense.
The audit is delivered as a written PDF report. The audit is structured to deliver maximum value and actionable steps for your business.
The report uses structured tables to show what data exists, who owns it, where it lives, where it breaks, what business risk it creates, and more. You do not need to interpret a vague consulting memo – the gaps are laid out clearly.
See how product data moves through the business and where handoffs create gaps.
Missing, broken, or inconsistent data that weakens visibility and trust.
Key risks, warnings, and business implications are highlighted throughout the report, so you can quickly see what matters most and why it matters.
Each finding is explained from a commercial point of view: how it affects discoverability, trust, retailer readiness, operations, competitor position, or future implementation.
Competitor advantages and the improvements with the greatest impact.
The Visibility & Trust gap
BIF helps US brand owners diagnose and build the product data infrastructure behind their GTINs, UPCs, and digital product identity.
The Digital Identity Audit shows what is broken first: who owns the data, where it lives, how complete the GS1 records are, how the brand compares to competitors, and what to fix next.
From there, BIF can help implement the roadmap – from GS1 field completion and product record cleanup through to Digital Link, AI discovery, retailer systems, and post-scan product experiences.
Craft brands audited
Craft brands audited
Alcohol & spirits focus
From Pain to Fix
And exactly which deliverable from the audit resolves each one. The audit isn’t abstract – every line item maps to something you’re already losing time or money on.
The Pain Today – “I’m fine”
What The Audit Delivers
Who creates, approves, and owns your product data, and where responsibility falls through the gaps.
The Pain Today – Data chaos
What The Audit Delivers
A map of where your bottle-level data lives today, where it is duplicated or inconsistent, and the single source of truth your team should standardise on.
The Pain Today – GS1 cost and complexity
What The Audit Delivers
A field-by-field review of your GS1 records against the seven essentials. Which ones matter for a brand your size, which are non-negotiable for retail readiness, and what you can safely leave for later
The Pain Today – Competitive blind spot
What The Audit Delivers
Your product data against 1-3 relevant competitors using the same checks. Where you are ahead, where you are behind, and what the gap looks like in practice.
The Pain Today – Digital Link comprehension gap
What The Audit Delivers
Strategic roadmap plus 3-month Digital Link trial — a practical path forward with a 3-month subscription to a Digital Link management tool, base configuration built from your GTIN data.
– A fit call, not a pitch. –
On the call, we’ll confirm whether your brand is a fit, walk through what the audit covers, and give you a quick read on whether your current product data setup looks worth reviewing further.
5.0
Trusted by 40+ craft brands
What Clients Say
Aaron Robinson
Co-Founder, Gold Rhombus Distillery – Australia
Peter Jenkins
Owner Skin Federation, Melbourne, Australia
David Rios
Warehouse Manager, Momentum Management LLC – California
Ralph Ehses
Chief Operating Officer, pjur Group – Luxembourg
Tim Farrell
General Manager, Danish Blue Stores – Australia
Kiran Kolli
Integration Architect, Tvarana – Texas
Everything we hear most often, before the call
To start, we need access to the product data you currently rely on: GS1 records or exports, product/SKU information, and any relevant internal sources where bottle-level data lives today. That may include GS1 Data Hub, spreadsheets, ERP/PIM records, packaging files, distributor sheets, or ecommerce listings. The goal is not to create busywork. The goal is to see where the data actually lives and what is missing.
You receive a written report showing where your product data stands, how it compares against relevant competitors, and what needs to be fixed first. The roadmap gives you clear next-step options: what can be handled internally, what may need light support, and what would require deeper implementation.
It is a fit call, not a pitch. We confirm whether your brand is a good fit, walk through the audit scope, answer questions, and explain what we would need to review. If the audit does not make sense for your brand, we will say so on the call.
Not to start. The audit is designed to show what is broken before you commit to packaging changes, Digital Link work, or larger implementation. In many cases, the first fixes are data ownership, GS1 record quality, and source-of-truth issues, not label redesign.
No. The audit is a diagnostic. We are not trying to sell you a PIM, ERP, or software platform. The point is to identify what is missing first, then decide whether the right next step is self-completion, light cleanup, or a deeper product identity buildout.
BIF also works more broadly with US brand owners where GTINs, GS1 records, retailer readiness, AI discovery, and digital product identity matter.
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