Growth requires more and more people
Workload rises faster than revenue as teams manually move data, check statuses and supervise repetitive operations.
BUSINESS FIRST. SYSTEMS THAT WORK.
Architecture
for business growth
I build e-commerce, CRM, back-office and AI agents as one digital business system — without the cost of maintaining a permanent IT team.
SYSTEM OUTPUTONE CONNECTED SYSTEM
30 YEARSBUSINESS × TECHNOLOGY
OWNER-TO-OWNERDIRECT RESPONSIBILITY
1M+ PRODUCTSCOMMERCE PLATFORM EXPERIENCE
// GROWTH FRICTION
Growth should not
become chaos.
New customers, products and markets increase operational load. If systems do not evolve with the company, growth turns into manual work, errors and loss of control.
The owner becomes the main dispatcher
Approvals and exceptions keep returning to the owner. Time meant for growth is spent controlling daily operations.
Knowledge depends on individuals
Rules and agreements remain in people’s heads, messages and spreadsheets. Shared standards disappear as the team grows.
Standard software limits the model
Generic services cover standard tasks but rarely support the processes that make a company different and create value.
A strong idea, but no IT team
The business needs a new sales channel, B2B platform or internal system, yet a permanent team is not economically justified.
AI is interesting, but results are missing
Isolated experiments do not change the economics. AI must be embedded in sales, data processing and operations.
// SYSTEM EFFECT
Technology should expand business capacity faster than administrative overhead.
VIEW SOLUTIONS ↓// CHOOSE THE BUSINESS PRIORITY
What should the system
change first?
Select the closest business task. The answer points to a practical first system, not an isolated list of features.
Turn the selling model into a working digital channel.
For online stores, B2B portals and niche marketplaces where catalog, commercial rules, orders and operations must work together.
€5K — €35K+INDICATIVE RANGEEXPLORE E-COMMERCE ↗
Make every lead visible and every next action clear.
For businesses selling through WhatsApp, social channels and direct conversations, with several people responsible for follow-up.
€3K — €10KINDICATIVE RANGEEXPLORE KOMMO CRM ↗
Replace operational chaos with one controlled cycle.
For orders, inventory, procurement, documents, finance and management reporting that have outgrown spreadsheets and manual coordination.
€8K — €50K+INDICATIVE RANGEEXPLORE BACK-OFFICE ↗
Give AI a bounded process, data and responsibility.
For customer communication, product data, documents and recurring work where a prototype can prove value before broader integration.
€3K — €25K+INDICATIVE RANGEEXPLORE APPLIED AI ↗
Make the catalog understandable to AI search and buying agents.
For stores and B2B catalogs that need clearer product identity, structured data, discovery controls and a safe path from AI recommendation to inquiry or checkout.
€900 — €18K+INDICATIVE RANGEEXPLORE AI-READY COMMERCE ↗
// BUSINESS SOLUTIONS
A clear first step.
A system built to grow.
Start with one product, establish a working foundation and add processes as the business grows. Budget ranges are indicative until the task is discussed.€5K — €35K+
Online
commerce
Online stores, B2B systems and niche marketplaces built on CS-Cart. Start with an MVP and evolve it across countries, sellers and storefronts.
- Online stores
- B2B portals
- Niche marketplaces
€3K — €10K
Sales
and customers
Kommo CRM brings deals, WhatsApp, social channels and AI agents into one sales process.
- Pipelines + automation
- WhatsApp + social
- AI agents
€8K — €50K+
Operations
and control
Custom back-office and mini-ERP connect the full operating cycle — from request and order to execution, financials and management reporting.
- Orders + execution
- Inventory + procurement
- Control + analytics
€3K — €25K+
AI +
integrations
AI agents and process automation, from data and document processing to customer communication.
- API + integrations
- AI agents
- Human oversight
// AI-READY COMMERCE
A store understood
by AI assistants.
I prepare online stores and B2B catalogs for a buying model where customers discover and compare products through ChatGPT and other AI services.
The approach works at different scales, from small catalogs to e-commerce systems with more than one million products.
CATALOG→AI ASSISTANT→BUYER→LEAD / CHECKOUT
01 / READINESS AUDIT€900 — €3K
AI-ready audit
I check whether AI can understand the store, find important products and distinguish one item from another.
- Products and categories
- Sitemap and bot access
- Data, errors and priorities
02 / B2C + B2B STORE€3.5K — €12K
AI-ready store
I make the catalog and buying conditions understandable to AI so it can match products more accurately and guide the customer to the next action.
- Structured product data
- Categories and machine-readable pages
- A safe path to a lead or checkout
03 / ENTERPRISE + MARKETPLACE€18K+
AI-commerce
platform
Governed AI infrastructure for large catalogs, multiple languages, storefronts, sellers and internal systems.
- Storefronts, languages and markets
- Commercial data protection
- CRM / ERP, leads and monitoring
CONTROL BY DESIGN. This is not a promise of placement in AI recommendations. The first step helps AI understand the public catalog and guide users to a lead or checkout; access to orders, payments and customer accounts requires a separate secure integration.
// APPLIED AI
AI for real
business processes.
We start with a specific process, not a fashionable technology: where time, leads or data are being lost. Then we build a verifiable scenario and embed it into the working system.
AI audit and prototype
We identify a process with practical impact and test the solution through a working prototype before a larger build.
Assistants, voice and sales
Customer and internal assistants, voice and email agents, lead qualification and human handoff for complex questions.
Data, documents and content
Catalog and document processing, analytics, content creation and preparing websites for discovery through AI services.
// PROVEN SYSTEMS
Real business.
Working systems.
SPS-Industry and Basebulk demonstrate two levels of complexity: a large-scale data platform and a niche marketplace.B2B E-COMMERCE / DATA / AI1M+ PRODUCTS
SPS-Industry
A B2B platform with more than one million products and an internal system that automatically prepares and controls storefront data.
- Catalog, pricing, stock, content and media data
- AI processing, translations, SEO and image preparation
- Architecture derived from the business, not a ready-made specification
MY ROLE
EXPLORE THE CASE ↗
Business discovery, product logic, architecture, development, implementation and ongoing system evolution.
CS-CART MULTI-VENDOR / INDUSTRY MARKETPLACEMARKETPLACE
Basebulk
A marketplace for raw materials, packaging and contract manufacturing, adapted to specialized products and industry rules.
- Independent sellers, catalogs and industry attributes
- Weighted and fractional products, specifications and quality documents
- Stripe, Stripe Connect, tax and logistics scenarios
MY ROLE
EXPLORE THE CASE ↗
Architecture, CS-Cart adaptation, add-on development, payment and logistics scenarios, UX and launch.
// ADDITIONAL PROVEN SYSTEMS
B2B SALES / KOMMO CRM
Proks
Kommo CRM for complex B2B sales: multiple business lines and pipelines, corporate customers, OneDrive and custom extensions.
KOMMOEXPLORE THE CASE ↗REAL ESTATE / OPS
VEF Kvartāls
Real estate, contracts, billing, services and a customer portal.
COREEXPLORE THE CASE ↗
Vladimir AnokhinCEO & OWNER / TENDERATE
// BUSINESS OPERATOR × SYSTEM ARCHITECT
Business first.
Technology second.
For most of my career I worked inside real businesses rather than as an outside IT contractor — responsible for people, sales, finance, operations and the final result.
I was a co-owner and led a group of companies with up to 600 employees, worked across B2B and B2C models and built my own management systems. I therefore look at processes and problems through an owner’s eyes: first understanding how the company makes money, where it loses time and what must change for growth — and only then choosing technology.
business and IT
under management
+ B2Cexperience across
business models
with the owner
// WHAT THE OWNER GETS
MORE ABOUT VLADIMIR ↗
- One person keeps the context from the first meeting through launch
- The business objective is not lost between managers and developers
- Partners join openly, with clear responsibility boundaries
- Architecture, quality and the final result remain under personal control
// LEAN DELIVERY MODEL
IT team capabilities.
Without the structural overhead.
I work directly with the owner, learn the business myself, design the architecture and remain responsible for implementation.
Management experience keeps the discussion focused on economics, processes and growth opportunities — not a list of features.TRADITIONAL IT COMPANYLONG CHAIN
01 / CLIENTCLIENT
02 / COMMERCIALSALESPM
03 / DISCOVERYANALYSTUX/UI
04 / BUILDFRONTENDBACKEND
05 / RELEASEQADEVOPS
Part of the budget and time goes into transferring information, internal contractor coordination and maintaining a permanent structure.
TENDERATE MODELDIRECT LOOP
OWNER↔VLADIMIR→WORKING SYSTEM
Business logic and architecture remain in one area of responsibility. Specialists join openly and only where their expertise is needed.
Business before technology
First I understand how the company makes money, where time is lost and what should change after implementation.
Use proven platforms where they add value
Standard store or CRM features are not rebuilt. The budget goes into business logic and differentiation.
Custom development only where it matters
Custom code appears where a standard system limits an important process or competitive advantage.
AI accelerates; responsibility remains
AI helps analyze, build and verify solutions faster, while architecture, quality and outcomes remain under my control.
// BUDGET LOGIC
You pay to solve the business problem, not to maintain the contractor’s structure.
DISCUSS THE WORKING MODEL ↗// FROM CONTEXT TO LAUNCH
From a business need
to a working system.
The project moves through short, understandable stages. Each stage should reduce uncertainty and deliver a result that can be verified in real work.
01BUSINESS CONTEXT
Conversation with the owner
We discuss the business model, growth goals, constraints and the processes where the main losses or opportunities exist.
02PRIORITIES
Solution model
I define what should change in the company’s work, which data and roles are needed and what to automate first.
03ARCHITECTURE
Architecture and stages
I choose platforms and define the boundaries of custom development and integrations. The project is split into practical deliverables.
04WORKING PRODUCT
Implementation and launch
I build a working system, test it on real scenarios and gradually connect users, data and functionality.
05GROWTH LOOP
Evidence-led evolution
After launch, the system evolves with the business. New capabilities come from real use rather than assumptions.
// AFTER LAUNCHI stay involved
I stay involved
after launch.
The project does not end when the system goes live. I continue support and development through a flexible model shaped around workload, priorities and the business’s capacity.
- On demand
- Hour packages
- Ongoing support
- Stage-by-stage development
// STARTING POINT
A focused task can be estimated and launched quickly. For a complex project, architecture and a staged plan come first — without requiring a complete formal specification in advance.
DISCUSS THE FIRST STEP ↗// START A CONVERSATION
A
GROWTH
CHALLENGE?
Describe the business, the goal and what is currently holding growth back. I will suggest a realistic next step.
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