Make your catalog, inventory, and stores AI-agent ready.
We modernize retail stacks so agents — yours and your customers' — can safely read inventory, catalog, pricing, and logistics in real time, and turn commerce into a reliable autonomous channel.
From agent-ready digital shelves and APIs to edge intelligence in stores, and from merchandising and search copilots to agentic checkout — architected for scale, security, and the coming world where AI does the shopping.
Trusted by teams at
The mandate
Turn fragmented commerce data into an agent-ready revenue engine.
The next channel isn't another storefront — it's autonomous agents transacting on behalf of shoppers and operators. We modernize the foundations: product, inventory, pricing, promos, logistics, and store data — so external AI agents can discover, trust, and act on them, while internal copilots lift merchandisers, CX, and ops.
What you get
- Agent-ready catalog + digital shelf: structured, semantic, permissioned APIs.
- Inventory, pricing, and promo agents with real-time, policy-aware actions.
- Merchandising & search copilots that actually understand your assortment.
- Edge intelligence for in-store experiences, associates, and loss prevention.
- Agentic checkout & CX: conversational commerce, returns, and post-purchase.
Why it works
Why this approach wins.
01 · Principle
Your catalog becomes an API agents actually use
Semantic attributes, images, policies, inventory, and pricing exposed with trust signals — so external and internal agents can reason, not guess.
02 · Principle
Merchandisers and CX stop firefighting
Copilots handle bulk setup, PDP hygiene, returns, and routine tickets. Your humans focus on brand, margin, and judgment calls.
03 · Principle
Stores become smart without a rip-and-replace
Edge agents layer on top of existing POS, RFID, and cameras — turning each store into a real-time data product for ops, LP, and experience.
Outcomes
The outcomes we commit to.
+15%
PDP conversion
−40%
CX handle time
3×
merch velocity
−20%
shrink + OOS
Awards
Proud moments.
Top 1% on Clutch Global
Top AI Strategy Company 2025
Clutch Fall Champion 2024
Inc. 5000 Fastest Growing
Breakthrough of the Year 2019
Member of Forbes Tech Council
Voice & Speech Recognition 2024
Top Blockchain Company 2024
Innovators of the Year 2019
GoodFirms Top Company
Pain points
Do you recognize your team?
What's happening
- ChatGPT, Perplexity, and shopping agents now send real traffic — and you don't know what they see.
- Merchandising and catalog ops can't keep up with SKU and channel growth.
- CX volume and handle time are squeezing margin.
- Store ops still run on spreadsheets and radios.
- A competitor just shipped conversational commerce on your category.
How it feels
- Anxious about being disintermediated by AI shopping agents.
- Frustrated by legacy PIM / OMS / POS stacks that resist modern tooling.
- Tired of 'AI' vendor demos that don't survive a real assortment.
- Pressured on margin, on-time delivery, and customer experience at once.
- Excited by what real-time, store-level intelligence could unlock.
Where it hurts
- Catalog data that's inconsistent across channels, markets, and locales.
- Inventory, promos, and pricing updates lagging the customer.
- Search + recommendations that don't understand synonyms or intent.
- CX queues drowning in simple, policy-answerable questions.
- Store data trapped in POS and RFID silos.
What we ship
Workstreams, real artifacts, measurable outcomes.
Every engagement decomposes into clear workstreams you can ship and measure. Here's the playbook for this segment.
01
Agent-ready catalog & APIs
- Semantic schema
- Agent-safe API layer
- Trust + auth
- Feed observability
02
Merchandising & search copilot
- PDP generator
- Attribute enrichment
- Search tuning
- Gap dashboards
03
Pricing, promo & inventory agents
- Policy layer
- Action tools
- Simulation + rollback
- Audit log
04
CX, returns & post-purchase
- Grounded chat
- Order + returns tools
- Escalation flow
- QA + eval set
05
Store edge intelligence
- Edge pipeline
- Associate app
- LP signals
- Ops dashboards
As seen in
After-state
What changes on the other side.
Your catalog, inventory, and pricing are exposed as first-class APIs external agents can trust. Merchandising, search, and CX ship with copilots. Stores stream real-time signal to ops and LP. New channels — including AI shopping agents — plug in without another rebuild.
How it feels
What becomes possible
- 01Turn autonomous commerce into a reliable, measurable revenue channel.
- 02Make merchandising, CX, and ops scale faster than SKU and order count.
- 03Stand up store-level real-time intelligence without replacing POS or RFID.
Concerns, answered
The usual concerns — handled.
Concern 01
“Our PIM / OMS / POS stack is too legacy to touch.”
We wrap, don't replace. Agent-ready APIs and semantic layers sit on top of what you have; we modernize on a runway instead of a big-bang program.
Concern 02
“Exposing product data to AI agents sounds risky.”
We ship permissioned, auditable agent APIs with rate limits, trust signals, and abuse detection. You control who sees what and prove it later.
Concern 03
“We already have search / recsys / CX vendors.”
Good — we layer on them. We target the workflows they leave weak: attribute quality, policy reasoning, long-tail CX, and merchandiser-side automation.
Concern 04
“We don't believe AI shopping agents will move real revenue.”
Maybe not tomorrow — but being readable to them is free upside and near-term SEO + discoverability gains. The cost of not being agent-ready grows every quarter.
Alternatives
Why us and not…
Horizontal commerce platforms
Great at storefronts, thin on agent-readiness and cross-system automation.
Search / recsys point vendors
Tune one surface; leave the catalog, policy, and CX agent problem untouched. We connect the dots.
In-house modernization programs
Often stall on legacy cores. We bring senior AI-native engineers who ship around them.
Case studies
Where ideas become impact.
Behind every system we ship is a team that moved from uncertainty to measurable outcomes. A few recent ones.
Case 01 · Client
Wealth Management Company
Objective
The goal was to integrate AI tools into everyday work across all roles and increase overall productivity.
Results
85%
of employees use AI tools daily in workflows
70%
of routine queries resolved via GPT assistant within the first 2 weeks
5 min
Average response time reduced from 1 hour to 5 minutes
52
ready-to-use prompts created for key scenarios (finance, presale, legal, HR)
12
AI agents deployed for quality, sales, finance, and executive dashboards
100%
prompts reviewed for data security compliance
Stack
ChatGPT Enterprise, n8n, Cursor, RAGDB (vector database), Power BI + Bloomberg GPT, Miro, Whisper / Coqui
Case 02 · Client
E-Commerce Platform
Objective
Automate customer support and optimize product recommendation systems using AI.
Results
60%
reduction in customer support tickets
3x
increase in product recommendation conversion rate
24/7
Automated support coverage with AI chatbot
8
custom AI workflows deployed across departments
40%
faster content generation for marketing campaigns
95%
customer satisfaction score with AI-assisted support
Stack
Anthropic API, LangChain, Pinecone, Next.js, Vercel, PostgreSQL, Redis, NanoClaw
Founder & team
Senior humans,
AI-native craft.
100+
people trained
20+
companies transformed
9.4/10
avg. workshop rating
96%
AI adoption in 7 days
Talk to the founder
Mike Doroshenko
Product strategist and AI consultant with 10+ years of digital product strategy and AI transformation. Author of corporate training programs used by leading companies.
Supported by 30+ experts
from McKinsey, Google, and top tech companies.
Testimonials
Our clients said it best.
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CEO, SECTOR 31 s.r.o.y
“Vahue's responsiveness and accuracy were impressive. We highly recommend them”
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Co-Founder, parloo.de
“There are a lot of companies that offer similar services but we've had an end-to-end good experience with them.”
Patrik Dvořák
CEO, SECTOR 31 s.r.o.y
“Vahue's responsiveness and accuracy were impressive. We highly recommend them”
Jacob Berg
CTO at Social Curator
“I appreciated the level of comfort Vahue made us feel. It was like being a part of a family.”
Georg Winkler
CEO, Xpertify
“The different and very profound skillset of the Vahue team was very impressive.”
Prasanna Elvis Eswara
Principal Consultant, Roost Digital
“They were proactive and seemed eager to build a relationship.”
Jacob Berg
CTO at Social Curator
“I appreciated the level of comfort Vahue made us feel. It was like being a part of a family.”
Georg Winkler
CEO, Xpertify
“The different and very profound skillset of the Vahue team was very impressive.”
Prasanna Elvis Eswara
Principal Consultant, Roost Digital
“They were proactive and seemed eager to build a relationship.”
Bartek Czerwinski
CTO, Quik
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Steinar Aas
CEO & Co-Founder at Asio AS
“Their flexibility and genuine interest in finding the best solution for the product was impressive.”
Georg Winkler
CEO, Xpertify
“The different and very profound skillset of the team was very impressive.”
Bartek Czerwinski
CTO, Quik
“Vahue has the ability to dive in and get the work done creatively with a lot of personal input.”
Steinar Aas
CEO & Co-Founder at Asio AS
“Their flexibility and genuine interest in finding the best solution for the product was impressive.”
Blog
Perspectives that matter.
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