Custom AI Workflows
Solve Any Retail Challenge
Custom AI workflows built by retail insiders automate unique brand challenges, delivering speed, precision, and measurable results at scale.
Start with the problem, not a product tour
No templates and no frameworks. Your challenge determines the workflow, and our capability has no predetermined limits.
Retail AI Orchestration
Proprietary AI infrastructure operational since October 2024, orchestrating workflows purpose-built for retail complexity, not generic business tasks.
Speed Without Bureaucracy
Deploy workflows in weeks through expert team engagement, moving faster and costing less than traditional implementations.
Eliminate Repetitive Work
Team members focus on strategy while AI workflows handle routine tasks, data synchronization, and reporting automation.
The retail AI brain
The Custom AI capability retail brands actually need
Enterprise software companies offer one-size-fits-all solutions. Consulting firms charge premium fees for implementations that barely address surface-level problems. Meanwhile your business confronts genuinely unique operational challenges nobody else can fully understand, because nobody else operates at your exact scale, inside your specific retail partnerships, or against your particular set of constraints.
Generic AI platforms treat retail as a vertical feature set, bolting capabilities onto architectures designed for other industries. Our founders grew WhyteSpyder to a successful exit, and since October 2024 our team has been building proprietary AI infrastructure engineered for retail complexity from inception rather than adapted to it.
That is the difference between an engagement that starts at discovery and one that starts at integration. You go to market on retail knowledge that is already encoded, already tested against real retailer requirements, and already in production for other customers.
Why that shortens your build
A retail AI project spends most of its calendar learning retail — the specs, the taxonomies, the exceptions, the claims rules. That work is done. Your engagement pays for the part that is genuinely yours.
Your workflow
Scoped, built, and running on your data in weeks — because this is the only layer that has to be new.
Operational since October 2024
- Retail media network rulesPlacements, formats, and ad policy across 40+ networks
- Retailer content policyItem setup rules, OmniSpec, and category content requirements
- Category taxonomies and attributesHow retailers actually classify, group, and surface an assortment
- Brand, claims, and legal guardrailsRegulated claims, disclaimers, and brand rules enforced on output
- Catalog, pricing, and inventory stateLive product truth, so automation acts on what is really on shelf
- Model orchestration layerLeading language and vision models under one control plane
Nobody bills you to rebuild the six layers underneath. That is where the timeline and the budget go on a from-scratch retail AI build.
The value story
Retail AI built by retail insiders who understand your world.
The challenge, in your words
“Twelve broker partners, twelve line review formats, and my category team rebuilds all of it by hand every quarter.”
The workflow we build
- 1Ingest every broker format on arrival
- 2Normalize to your own item taxonomy
- 3Validate against the retailer's current spec
- 4Write back to your PIM and generate the content
- 5Route only the exceptions to your category team
Built for this problem, not pulled off a shelf
Your Challenge Defines The Workflow
Not templates. Not frameworks. Actual intelligent automation tailored precisely to your operational needs, with no predetermined limit on what the workflow can be.
- Scoped from your operation
- We map the workflow to how your team, your retail partnerships, and your constraints actually work, rather than to whatever a product roadmap already supports.
- Read by retail insiders
- The people scoping it built and exited a retail technology business, so the problem does not have to be translated out of retail language first.
Building the capability yourself
~18 months
- Retail domain modeling
- 6 months
- Spec and data ingestion
- 4 months
- Model orchestration
- 5 months
- Build and QA
- 3 months
Starting on the retail AI brain
6 weeks
- Scope the challenge
- 1 week
- Configure on the brain
- 3 weeks
- Pilot and go live
- 2 weeks
Start At Integration, Not Discovery
The retail knowledge that consumes most of a from-scratch AI build has been in production since October 2024, so your timeline begins where other projects are still writing requirements.
- Weeks, not many months
- Most customers see operational efficiency gains within weeks, against the many months a traditional implementation books before anything runs on real data.
- Retail-specific from inception
- Retailer specs, category taxonomies, and claims rules are already modeled, so accuracy comes from the infrastructure instead of from how well you brief a generic model.
Three routes to the same outcome
Enterprise AI platform
License, every year
Retail arrives as a bolt-on feature set, and you adapt to the roadmap.
Global consultancy build
Premium fees, months of discovery
Deep invoice, surface-level fix, and a team that leaves at handover.
AdFury custom workflow
One engagement, live in weeks
Retail insiders, a brain that is already built, results you can measure.
Bar length is relative spend to a working solution, not a quote.
Retail Speed Without The Consultancy Invoice
You work directly with our team, which moves faster than enterprise vendors, costs significantly less than traditional consultancies, and delivers measurable results immediately.
- Direct team engagement
- No account layer sits between you and the people building the workflow, so decisions land the same day they get made.
- Managed services after delivery
- Once the workflow is live, our managed services team can keep optimizing it, so it evolves as your assortment, retailers, and priorities change.
What the head start is worth
Automation that goes live on your timeline, not a vendor's
- retail AI infrastructure in continuous operation
Oct 2024
retail AI infrastructure in continuous operation
- from scoping call to a workflow running on your data
Weeks
from scoping call to a workflow running on your data
- retail and media platforms already modeled in the brain
40+
retail and media platforms already modeled in the brain
- on which retail challenge a workflow can be built for
No limit
on which retail challenge a workflow can be built for
How an engagement runs
Six weeks from conversation to production
No procurement theater and no discovery phase billed as progress. You engage our team directly and the workflow ships.
Bring the challenge, not a spec
A working session with the people who built and scaled a retail technology business. We map where your hours and your margin actually leak before anyone talks about tooling.
We build on the brain, not from scratch
Retailer specs, category taxonomies, claims rules, and platform integrations are already modeled, so the build starts at your data and your exceptions.
Pilot on your real operation
The workflow runs against a live slice of your catalog, ad account, or client roster, so you see measurable results before committing further.
Run it, or hand it back to us
Take the workflow in-house, or keep our managed services team optimizing it as your assortment, retailers, and priorities shift.
Who contracts a custom workflow
Direct with brands, and behind the teams that serve them
Brands engage us directly. Everyone else in the retail ecosystem contracts AdFury as the capability behind what they already sell — the same retail AI brain, pointed at their customers' problems instead of ours.
Agencies
Contract AdFury as the production engine behind client work, delivered under your brand.
- Creative AgenciesA white-label workflow that turns one approved concept into every retailer's placement spec, so client volume stops being a headcount question.
- Media Buying AgenciesWire creative refresh to live inventory, pricing, and pacing signals, so a flight never stalls waiting on a new asset.
- Shopper Marketing AgenciesAutomate the digital shelf work behind a promotion — imagery, copy, and rich media — across every banner in the plan at once.
- Multi-Platform AgenciesOne workflow that normalizes each storefront's rules, so a decentralized client roster runs from a single production pipeline.
Brands
Engage us directly to automate the operational loops your category and ecommerce teams repeat every quarter.
- 1P SuppliersAutomate line review prep, item setup, and content maintenance so category managers spend their quarter selling instead of reformatting.
- 3P SellersTrigger listing content and ad creative from catalog and inventory events, without hiring an operations team to keep pace.
- 3P Seller AggregatorsStandardize production across acquired brands, so every new portfolio addition inherits the same pipeline on day one.
Retailers
Build supplier-facing capability into your own media network and item setup process.
Retail Consulting Firms
Subcontract the retail AI build so your engagements ship working automation, not a roadmap.
- Global Management ConsultanciesDeliver the automation layer inside your transformation programs, with retail depth your client can verify in production.
- Specialized Retail BoutiquesExtend a small expert team with billable production capability, without carrying an engineering function.
- Technology IntegratorsDrop in the AI-native creative and content layer of the composable stack you deploy, instead of rebuilding it per engagement.
SaaS
Embed retail-specific AI workflows into the platform your customers already work in.
- Advertising SoftwaresGenerate and spec-validate creative inside your platform, so campaigns launch without your users leaving it.
- Creative SoftwaresAdd retail compliance and retailer-specific output to the tooling your users already design in.
- Digital Asset Management SystemsLink assets to live product data, so a DAM record becomes a publishable retail asset rather than a file.
- Product Information Management SystemsTurn governed attributes into retail-ready content and semantic structure on write.
What a workflow can do
The building blocks already in the brain
Your workflow is assembled from capabilities that are already in production for retail, which is why the build is measured in weeks.
Data synchronization
Keep catalog, pricing, inventory, and media in step across the systems that each hold part of the truth.
Format normalization
Turn broker sheets, portal exports, and partner templates into one structure your team can actually work from.
Retailer spec enforcement
Validate assets and item records against each retailer's live requirements before anything is submitted.
Creative and content generation
Produce imagery, copy, and layered ad sets on the triggers your operation already runs on.
Video production at volume
Generate the video cuts and formats retail networks accept, from the assets you already own.
Approval and QA routing
Send work to the right reviewer with the context attached, and hold anything that fails a check.
Claims and legal guardrails
Encode regulated claims, disclaimers, and brand rules so compliance is a property of the output.
Digital shelf monitoring
Watch live listings for content drift, suppressed items, and competitor movement, then act on it.
Exception alerting
Escalate only what needs a human decision, with the evidence a person needs to make it.
Reporting automation
Assemble the recurring reporting your team rebuilds by hand, on the cadence your stakeholders expect.
Systems integration
Connect PIM, DAM, ERP, ad platforms, and retailer APIs without asking you to replatform any of them.
Branching business rules
Model the exceptions that make your operation yours: per retailer, per category, per partner.
Bulk operations
Push a change across thousands of items, listings, or creatives in one governed run.
Scheduled and event-driven runs
Fire on a calendar, a webhook, or a change in your data, so nobody has to remember to start it.
Custom AI Workflows
Frequently asked questions
Explore
The rest of the AdFury platform
Custom workflows are assembled from the same engines that run the Agentic App, so anything below can become part of yours.
Bring us the retail challenge nobody else can reach
Custom AI workflows built on infrastructure that has been learning retail since October 2024. Live on your data in weeks.
Why AdFury
The AdFury difference
Retail expertise. Purpose-built AI for retail. Operational excellence. Customer accountability.
The Retail AI Brain
Building our AI infrastructure since Oct. 2024. Agentic App. Managed Services. Custom AI workflows. Purpose-built for retail, not adapted from generic AI.
Retail Insiders, Real Results
Built by founders who scaled retail SaaS to exit. Deep expertise in retail media networks and retail product content management. We know the problems.
Knowledge Meets AI Speed
Retail knowledge powered by fine-tuned AI. Adapt faster. Solve better. Evolve precisely. Momentum catapults results. Trust expertise.
Customer Success, Always
Specialists, not generalists. We go deep in retail for focus on growth. Proven founders. Managed services. Dedicated support. We never fail our clients.
Our Values
What drives us forward
Seven principles that decide what we build, how we test it, and who we build it with.
See what each value means in practice- See the Future
- Never Stop Researching
- Never Stop Testing
- Be the First
- Explore Relevancy
- Bring Everyone Together
- Inspire Rapid Change
Built by Retail Insiders
Proven founders. Deep retail expertise.
Founded by retail technology entrepreneurs who built and scaled WhyteSpyder to a successful exit, AdFury.ai combines decades of retail and e-commerce expertise with cutting-edge AI architecture. We don't just understand retail — we've built and scaled profitable SaaS solutions and managed services within it.
WhyteSpyder started as a digital shopper agency for Walmart in 2012, became retail ecommerce SaaS in 2019, and sold to Ascential in 2021, where the team went on to scale retail media inside Flywheel Digital. AdFury.ai followed in October 2024.
- Founded
- Oct. 2024
- Headquarters
- Rogers, AR
- Built for
- Retail only
- Team
- 14 insiders
