Description of the industries we service

// Value

How we prepare your
The Embedded Intelligence.

These industries are part of our development roadmap. Their scope, core use cases and initial domain structures are being defined in preparation for future builds and client deployments. In preparation on deployment within your company we already primed the Corpus with Industry-specific context like regulations, legislations, frameworks and ISO documentation.

01 · Capture the Industry Language

Industry Vocabulary

This is where the numbers, entities and relationships of the company are organized. Products, suppliers, materials, customers, locations, flows, inventories, service levels, risks, KPIs, costs and constraints are connected through our proprietary graph approach.

02 · Structure the Industry Logic

Operating Models

This is where the system starts to understand how a specific organization works. Contracts, SLAs, process descriptions, strategy documents, supplier files, customer agreements, planning procedures, meeting documents. It is the creation of a usable intelligence base for the company.

03 · Embed the Industry Frameworks

Standards & Practices

This is the part we bring. We have pre-build industry specific layers with domain context. This includes industry language, regulations, typical processes, legislation, common risks, decision frameworks, relevant standards. It enriches the total corpus.

// Industry · Verticals

Launched industries.

These are the industries in which we have already built and deployed context layers for client environments. Each layer reflects the terminology, structures, processes and decision logic specific to that industry and becomes more advanced with every implementation.

Fashion industry

Built around the commercial and operational dynamics of fashion brands and retailers, from collection planning and seasonal demand to assortment performance and omnichannel fulfilment.

Collections, seasons, styles, colourways, SKUs, assortment planning, sell-through, markdowns, allocation, replenishment, returns and channel inventory

Phase 2.3|version vertical.fashion.021

Apparel industry

Focused on the development, sourcing and production of garments across complex, internationally distributed supplier and manufacturing networks.

Tech packs, bills of materials, fabrics, trims, size curves, sampling, critical paths, sourcing, cut-make-trim, minimum order quantities, lead times and supplier compliance

Phase 2.3|version vertical.apparel.02b1

Ingredients industry

Designed for ingredient producers and users managing recipes, specifications, raw-material exposure, quality requirements and supply continuity.

Raw materials, formulations, recipes, specifications, allergens, nutritional values, certificates of analysis, batch traceability, shelf life, substitutions, price exposure and availability

Phase 4.3|version vertical.ingredients.041.c

Retail Food

Structured for food retailers managing large assortments, perishable inventory, supplier networks and store-level availability.

Categories, assortments, promotions, planograms, fresh products, expiry dates, cold chains, store replenishment, waste, private label, supplier performance, food safety and on-shelf availability

Phase 2.3|version vertical.food.016.a

Consumer Electronics

These are the industry verticals where we have already built or deployed context layers, corpus structures and graph foundations.

Collections, assortment, sourcing, suppliers, inventory, omnichannel, returns, margins and seasonal planning

Phase 2.3|version vertical.hightech.0011

E-commerce / platform

Structured for digital commerce businesses and marketplaces managing large catalogues, seller ecosystems, fulfilment operations and high-volume customer interactions.

Product listings, catalogues, sellers, marketplaces, buy box, pricing, conversion, GMV, take rate, pick-pack-ship, fulfilment centres, last mile, fraud, returns and customer reviews

Phase 2.5.b|version vertical.chemicals.0041
// Early Access

Let’s us know if you to apply for early access.

Let us know if you are interested building a vertical.

Emailsales@verticallm.ai
Based inRotterdam · The Netherlands
// Roadmap · Next

Up next.

Verticals currently in active build — context layers and graph foundations underway.

Retail Non-Food

Built for retailers managing broad product portfolios, seasonal assortments, store networks and increasingly integrated physical and digital channels.

Merchandise hierarchies, categories, assortments, SKUs, store clusters, planograms, promotions, markdowns, stock turns, replenishment, shrinkage, returns and omnichannel fulfilment

Phase 1.2|version vertical.retail.01.a

Process Industry Food

Built for food-processing environments in which recipes, process parameters, asset utilisation and product safety must be controlled simultaneously.

Recipes, batches, continuous processing, process parameters, tank scheduling, clean-in-place, allergen sequencing, yield, by-products, OEE, MES, quality release, shelf life and batch traceability

Phase 1.7|version vertical.process.01.a

Food & Beverage

Built for branded food and beverage manufacturers managing product portfolios, recipes, production capacity, quality requirements and time-sensitive distribution networks.

Recipes, formulations, ingredients, batch production, production lines, changeovers, yield, shelf life, HACCP, allergen control, quality release, cold chain and co-manufacturing

Phase 1.9|version vertical.food.01.d
// Backlog · Scoping

In preparation.

Verticals on the roadmap, scoped and awaiting build.



Chemicals, Maintenance, Office Equipment, Consumer Packaged Goods, Home Improvement, Automotive, Logistics, Agriculture, Cosmetics, Textiles, Beverages
FAQ verticallm / common questions
// Common questions

Answers
to the hard
questions.

If something is still unclear, reach out directly — we prefer precision over marketing collateral.

Get in touch
Is the Datagraph pre-configured for my industry?

Yes, for a growing set. We build Industry Profiles — pre-structured data models, KPI libraries, and terminology layers per sector. Six graphs are production-ready today; others, are in active preparation. If your industry isn’t covered yet, the profile is built during deployment.

What exactly is included in an Industry Profile?

A validated data schema across the full supply chain (suppliers, products, BOMs, orders, logistics), sector-specific KPI definitions with formal SQL, and the domain vocabulary the retrieval layer needs to interpret your documents correctly. It’s the difference between a generic model and one that speaks your operation’s language on day one.

What happens if my industry layer is still in preparation?

You’re not blocked. The core platform is industry-agnostic; the profile accelerates onboarding rather than gating it. We prioritize in-prep layers based on active deployments, so an early engagement typically means your sector profile matures alongside your rollout.

Do I need to restructure my data to fit an Industry Profile?

No. You use what exists today and we map this profile on your data onto the model and fills structural gaps in dependency order. Partial data is expected, not a problem.

How do I get access?

Not off the shelf (yet). We’re currently onboarding clients and partners by invitation only while the platform matures. You can apply for early access by dropping us a note; we prefer a small number of deep deployments over a broad rollout.

// Early access

Let us know if you want to help us develop the next industry layers.

Tell us if you want to apply for early acces and help s build the next vertical.

Emailsales@verticallm.ai
Based inRotterdam · The Netherlands