Pricing Automation in E-commerce: How to Choose Tools Without Giving Pricing to a Black Box
How to build a price automation framework: competitor monitoring, repricing, ML/AI, limits of off-the-shelf tools, and KT.Team's approach.
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24 Showing articles 49-72 of 396
How to give an LLM your knowledge: RAG, llm-wiki, graphs, fine-tuning
Compare RAG, llm-wiki, knowledge graphs, and fine-tuning for giving LLMs your knowledge, including when Obsidian helps and when it becomes unnecessary overhead.
Learn moreManaging Brand Image in Neural Networks: Pro et Contra
GEO gives no control over neural-network answers. What you can actually manage: brand facts, sources, reputation, measurement and the data perimeter.
Learn moreChestny Znak in 1C: how to work with it, export codes, and configure cash registers in 2026
How to work with Chestny Znak in 1C in 2026: marking code export, SBIS/EDI, UTD auto-signing, POS compliance mode, and error control.
Learn moreModel Fine-Tuning: A Short Guide
What LLM fine-tuning is, its pros and cons, when it makes sense (factories, construction, retail), and when cloud-based RAG or llm-wiki is enough.
Learn moreKarpathy's Lens: Understanding vs. Execution
A breakdown of Andrej Karpathy's ideas: AI as a spirit, a decade of agents, understanding matters more than execution, and what this means for business.
Learn moreHow we cut token costs without losing quality
How KT.Team reduces AI task costs: short context, RTK, Caveman, Cavecrew, caching, batch processing, and complexity-based routing.
Learn moreWhat McKinsey, Gartner, BCG, and Sequoia say about AI adoption - and what it means for you
What reports from Morgan Stanley, Gartner, and Sequoia say about AI adoption in 2025-2026 and what it means for enterprise: ROI, agents, build vs buy.
Learn moreLLM capabilities in 2026: choosing the right model for your process and budget
Comparison of frontier, open-weight, and CIS LLMs in 2026 by inference cost, context window, licensing, on-prem, and Federal Law GDPR, including GigaChat 3.5 Ultra.
Learn moreCommunication discipline: how to disagree without losing ground
Why a difficult dispute requires sequencing, questions, and written records of emotions: a management practice for digital teams.
Learn moreDORA 2026: AI does not deliver ROI - your platform does
DORA 2026 on AI ROI in development: 88% see returns, but transformation is rare. Why AI is an amplifier of platform maturity, not a source of ROI. Analysis by Andrey Putin.
Learn more5 critical WMS and 1C integration mistakes before switching to unit-level labeling tracking from June 1
Five critical WMS-1C integration mistakes: direct exchanges without contracts, manual statuses, poor monitoring, weak directories and missing business metrics.
Learn moreProcess automation in construction for controlling deadlines, budgets, contractors and digital project management
How to automate construction processes: plan-versus-actual, procurement, contractors, CDE/BIM, ERP, integrations, and AI summaries for the project manager.
Learn moreLocation-based storage, WMS, and warehouse slotting: how to eliminate unnecessary movement and improve logistics efficiency
Slotting in WMS: how ABC/XYZ analysis, placement rules, and integrations speed up picking, cut travel distance, and remove chaos in bins.
Learn moreWhy TMS no longer works without ERP integration: how to build end-to-end digital logistics in 2026
How to connect TMS, ERP, 1C, WMS, and tracking without point-to-point integrations: events, statuses, SLA, error control, and unified analytics.
Learn moreWMS for marketplace fulfillment: warehouse automation, location-based storage, and integration with 1C
How WMS helps a fulfillment operator meet marketplace SLAs and manage stock, picking, returns, and integrations with 1C, ERP, and TMS.
Learn moreMistakes as a learning cycle, not a blame game
How to turn an error into a managed learning loop: effort criteria, new information, process adjustment, and engineering memory.
Learn moreHow a developer becomes a speaker: a detailed guide plus motivation
A detailed guide for developers: how to prepare a talk, submit a proposal and get on stage at a conference.
Learn moreConstruction schedule control: how digital systems, the technical client, and construction supervision help avoid delays and reduce project losses
How digital systems, the technical client and construction supervision help keep timelines and reduce project risks and losses.
Learn moreLogistics automation in 2026: how TMS, WMS, EDI and AI cut costs and speed up delivery
How logistics automation reduces errors, speeds up delivery and helps control warehouses, transport and supply chains.
Learn moreWarehouse automation with WMS: how to cut costs, speed up order processing and improve inventory accuracy
How warehouse automation with WMS lowers costs, speeds up order processing and improves accounting accuracy.
Learn moreConstruction process automation: how BIM, ERP, and digital technologies cut costs, speed up projects, and improve control
How BIM, ERP and digital technologies cut costs, speed up construction and improve project control.
Learn moreA construction management system for controlling schedules, budgets, contractors, and project digitalization
How a construction management system helps control timelines, budget, contractors and documents in one environment.
Learn moreDigital transformation of logistics: WMS, TMS, AI, IoT and blockchain run supply chains through data and APIs
How WMS, TMS, AI and IoT help optimize warehouses, routes and supply chains based on data.
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