AI that runs your business.
Not just your website.
We apply AI across the full stack — quote automation, demand forecasting, product data, and AI-powered discovery — so your team does more with less.
AI for B2B Commerce & Operations
Manufacturers and distributors don’t have a marketing problem or an operations problem — they have a leverage problem. For B2B, AI is not one project. It is a layer that touches three parts of the business: how your team operates internally, how your products are discovered externally, and how transactions get completed — increasingly by AI agents on behalf of buyers.
We work across all three. We integrate AI into your existing systems — ERP, PIM, Shopify Plus, Klaviyo, HubSpot — rather than adding tools you have to manage.
Every engagement starts with what your team does manually today, and ends with that work running automatically.
Contact usWe also do strategy & consulting, platform & integration, and B2B Built In — an end-to-end B2B accelerator.
AI-Powered Operations
Remove manual work from the inside of the business — what your team does today, running automatically tomorrow.
- Quote generation from RFQ to customer-ready in minutes, not days
- Order-status triage, invoice matching, and CSR copilots from your ERP + PIM
- Internal search across product specs, contracts, and historical orders
- Built on the Claude API, deployed inside your stack — not standalone tools your team has to learn
Demand & Data Intelligence
Turn ERP and PIM data your team already owns into operational decisions made on time.
- Forecast demand from historical ERP data; flag dead stock before working capital is tied up
- Detect pricing drift across customer tiers in real time
- Akeneo PIM AI-powered enrichment — descriptions, attribute gaps, data quality at scale
- 40% time-to-market reduction on a recent enterprise implementation
Agentic Commerce Readiness
Make your catalog machine-readable for AI agents — both buyer-side assistants and procurement bots.
- Structured feeds for Google’s Universal Commerce Protocol (UCP) and Shopify Agentic Storefronts
- JSON-LD schema, complete metafields, and real-time APIs that AI engines can parse
- Hybrid B2B/D2C catalog visibility in ChatGPT, Gemini, and Copilot — while B2B pricing stays private
- A2A-ready: catalog set up for buyer-agent ↔ supplier-agent transactions
Generative Engine Optimization
Get cited in the AI-generated answers your buyers and their agents already read instead of search results.
- Baseline measurement across ChatGPT, Gemini, Perplexity, and Google AI Overviews for target queries
- Continuous monitoring of citations, ranking changes, and content structure
- Lifecycle automation: Klaviyo flows, HubSpot churn detection, reorder reminders tied to real buying cycles
- Monthly reporting against AI visibility scores — not just search rankings
AI moves fast. Your business has to move with it.
The B2B companies falling behind in 2026 are not the ones without an AI strategy. They are the ones whose operations still run at pre-AI speed while their buyers, their competitors, and their procurement counterparts already operate with AI in the loop. We map where you are losing speed — function by function.
Quote-to-cash delays
How long from RFQ in your inbox to quote in the customer’s hand? More than 48 hours for standard configurations means you are losing deals to faster competitors. Every hour of delay is a percentage point of close rate.
Product data that drifts
Your ERP says one thing. Your PIM says another. Your website says a third. AI buyers — human or agent — cannot evaluate what they cannot parse. Drifted data is invisible data.
CSR teams drowning in repeat work
Where is my order. When will this ship. What is the lead time. The same questions, asked again and again, are the easiest AI win in the business — and the one most often overlooked.
Inventory that lies
Dead stock that should have been flagged six months ago. Stockouts predictable from buying patterns. Pricing that drifts off-target across tiers. The data is in your ERP. The intelligence is not — yet.
Invisible to AI buyers
57% of Google searches now include AI-generated answers (Xponent21, 2025). If your catalog is not structured for machine-readable discovery, you are not in those answers. By the time you fix it, your competitors are already cited.
Stack that bleeds money
Legacy platform license. Three middleware tools doing overlapping work. Custom code no one understands anymore. The first audit usually finds the savings that fund the rest of the transformation.
How we implement AI for B2B
Every AI engagement follows the same operator-tested process. We don’t start with tools — we start with your data and your buyers. Click any step to open.
01 Discovery & audit + Detail
For new engagements, this is the AI Opportunity Sprint — a structured intake that maps your tech stack, your data, and the workflows where manual effort is concentrated. For existing clients, this is a targeted audit of the systems involved in the specific AI project. No implementation starts without this step.
A paid 2-4 week engagement
We audit, we interview, we prioritize — you walk away with a roadmap your team can act on. Fixed-fee, productized engagement.
We map your tech stack, interview your operations and commerce leads, and identify where manual work is concentrated. Output: a documented inventory of AI-addressable workflows.
We score each opportunity on three axes: technical feasibility, estimated ROI, and implementation timeline. We prioritize the top 3-5 use cases.
We deliver a prioritized roadmap with budget estimates and a recommended proof-of-concept. You decide whether to proceed with us, with another partner, or in-house.
02 GEO & visibility baseline + Detail
We measure where you appear today in ChatGPT, Gemini, Perplexity, and Google AI Overviews for your target queries. This baseline tells us exactly where AI engines can find you, where they can’t, and what competitors show up instead.
SEO and GEO are not the same metric
The signals overlap but the measurement is fundamentally different — and you need both, tracked separately.
03 Implementation & enrichment
We deploy AI-powered enrichment inside your Akeneo PIM, structure schema markup for machine discovery, optimize content for AI extraction, and configure IndexNow for real-time crawl notification. On a recent enterprise implementation, this phase reduced time-to-market by 40%.
04 Agentic commerce readiness + Detail
We prepare your catalog for AI agent purchasing — structured product feeds compatible with Google’s UCP, Shopify Agentic Storefronts, and Microsoft Copilot. Hybrid B2B/D2C stores on Shopify Plus get automatic D2C visibility in ChatGPT, Gemini, and Copilot today.
Shopify Agentic Storefronts are live
On March 24, 2026, Shopify launched Agentic Storefronts — millions of merchants can now sell directly inside ChatGPT, Gemini, and Copilot. Products show up when a buyer asks an AI assistant what to buy, and checkout completes through the merchant’s own store.
Agentic Storefronts support D2C sales only. B2B-only catalogs are excluded. But hybrid B2B/D2C stores on Shopify Plus get automatic AI visibility through their consumer catalog — while B2B pricing stays private. This is exactly the architecture we build for our clients.
We estimate Shopify has a 6-12 month execution lead over Adobe Commerce and SAP Commerce Cloud on agentic commerce. For distributors evaluating platforms right now, that gap determines whether your products show up in AI shopping conversations this year — or sometime in 2027.
Full analysis: What Agentic Storefronts mean for B2B distributors05 Monitoring & optimization
AI visibility is not set-and-forget. We track citations across AI platforms, monitor ranking changes in generative answers, and continuously optimize content structure and schema markup. Monthly reporting shows exactly which AI engines cite your brand and for which queries.
AI results from real projects
Numbers above are from original Human After All implementations.
AI in action
Goodyear
Enterprise Akeneo PIM with AI-powered catalog enrichment — product descriptions, attribute completion, and data quality at scale for thousands of tire SKUs across North America.
Read case study
Husky Boutique
40+ API endpoints, automated order routing to ServiceCentre ERP, split invoicing, and self-service B2B portals — replacing manual email-based processes with automated workflows.
Read case studyWhat This Means for Your Business
Operations that scale without headcount
AI inside your existing ERP, PIM, and Shopify Plus — replacing manual work with automated workflows your team already trusts.
Visibility in AI-generated answers
Get cited in ChatGPT, Gemini, Perplexity, and AI Overviews — where 90% of B2B buyers now research.
Catalogs ready for AI agents
Structured product data, JSON-LD schema, and UCP-compatible feeds so buyer agents can find, evaluate, and transact with you.
Built by operators, not theorists
Every AI capability we sell is one we have shipped to real B2B operations — including for ourselves.
Frequently asked questions
How does AI apply to B2B eCommerce specifically?
B2B has three layers AI touches: operations (quote-to-cash, CSR triage, demand forecasting), commerce (product data enrichment, search relevance, personalization), and discovery (Generative Engine Optimization so AI agents and AI-augmented buyers can find and transact with you). We work across all three.
Does Human After All only do AI for eCommerce, or also for operations?
Both. We build AI for eCommerce (catalog enrichment, agentic commerce readiness, GEO) and AI for internal operations (Claude API copilots for sales and CSR teams, retrieval-augmented search, document automation). Operations is often where the fastest payback lives.
What is the AI Opportunity Sprint?
A paid 2-4 week engagement that maps the highest-ROI AI use cases across your operation. We audit, we interview, we prioritize — you walk away with a roadmap your team can act on. Fixed-fee, productized engagement.
How do I know if my company is falling behind on AI?
If you can recognize three or more of the six pain patterns on this page — slow quote-to-cash, drifted product data, CSR teams drowning in repeat work, inventory that lies, invisibility to AI buyers, or a stack that bleeds money — you are not behind yet, but you will be in 12 months. The Sprint is the right starting point.
What is agentic commerce?
Commerce where the buyer is an AI agent acting on behalf of a human (or another business). Buyers ask ChatGPT, Gemini, or Copilot to find, evaluate, and sometimes purchase products. Procurement teams deploy agents that negotiate with supplier agents (A2A commerce). Your catalog needs to be machine-readable to participate.
What is the difference between GEO and SEO?
SEO ranks you in search results. GEO gets you cited in AI-generated answers. The signals overlap but the measurement is fundamentally different — and you need both, tracked separately.
Do you replace our existing marketing tools with AI?
No. We integrate AI into your existing systems — ERP, PIM, Shopify Plus, Klaviyo, HubSpot — rather than adding tools you have to manage. Every engagement starts with what your team does manually today, and ends with that work running automatically.
How do you use AI in your own development process?
We’re trained in AI fluency and Claude development through Anthropic’s official programs, and we build with AI-native tools daily. Every AI capability we offer is something we have built and shipped for real B2B operations — including for ourselves.