Effective CRM implementation in B2B: case studies, mistakes, integrations, and a digitalization strategy for complex sales
How to implement CRM in B2B, adapt it for long sales cycles, avoid common mistakes, and improve customer retention.
Learn moreBlog
24 showing articles 289–312 of 563
Integration with "Chestny Znak": How Distributors Can Avoid Fines, Blocks, and Logistics Losses
How a distributor can set up work with Chestny Znak, avoid fines and blocks, and speed up logistics without losses.
Learn moreWhat hinders successful integration of CRM, 1C, and other business systems: the 5 main mistakes and proven solutions
Five common CRM, 1C, and systems integration problems, plus ways to reduce technical, organizational, and financial risks.
Learn moreDORA 2025, Part 8. How systemic AI adoption improves productivity, stability, and software quality
AI speeds teams up only in a mature environment. Learn how to build a system where AI drives real growth, from DevOps to architecture and skills.
Learn moreDORA 2025, Part 9. How to choose the right metrics and frameworks to measure development and AI impact in IT organizations
How to choose DORA, SPACE, DevEx, and HEART metrics and frameworks to assess development, team experience, and AI impact.
Learn moreIntegrating SBIS with an online store: how to automate accounting, sync orders, and reduce errors
How SBIS integration with an online store automates orders, stock, and reporting while reducing errors and manual work.
Learn moreDORA 2025, Part 7. How Value Stream Management (VSM) helps IT teams achieve sustainable growth and use AI strategically
How VSM helps IT teams deliver faster, improve processes more precisely, and use AI without adding chaos.
Learn moreDORA 2025, Part 2. Defining software delivery performance: a look at seven team profiles
Seven DORA profiles for assessing software delivery performance: metrics, success factors, and practical team application.
Learn moreDORA 2025, Part 5. 7 DORA AI Capabilities: How Technical and Cultural Practices Strengthen AI Impact in Software Engineering
7 DORA AI capabilities: technical and cultural practices that help companies increase AI value in software development.
Learn moreDORA 2025, Part 6. Platform Engineering as a Strategic Foundation: Impact on Performance, Instability, and Scaling AI in Software Development
Why an internal platform affects efficiency, delivery stability, and scaling AI in software development.
Learn moreAI Agents 2025: How Business Is Moving from Chatbots to Autonomous LLM-Based Systems - Case Studies and Deployment Plan
What AI agents are, how they work on LLMs, what tasks they solve and how to plan their implementation in business.
Learn moreDORA 2025, Part 3. How AI Is Transforming Software Development: Adoption, Use Cases, and Impact on Team Effectiveness
We examine how teams adopt AI in software development, which use cases work, and how productivity and quality change.
Learn moreDORA 2025, Part 4. How AI transformed software development over 3 years: from everyday use to its impact on processes and perceptions of the profession
How AI became standard in software development over three years, what effects it delivered, and why some metrics remain stable.
Learn moreDORA 2025, Part 1. Introduction, summary, and key insights on AI's impact on software delivery performance
A review of the key DORA 2025 findings on how AI amplifies the strengths and weaknesses of teams, platforms, and software delivery processes.
Learn moreHow 1C:ERP helps manufacturing companies cut costs and boost efficiency
How 1C:ERP automates manufacturing, planning, accounting and control, cutting costs and boosting efficiency.
Learn moreHow companies automate product labeling and cut costs with Chestny Znak integration
How integration with Chestny Znak helps automate labeling, lower costs, and reduce warehouse errors.
Learn more9 steps to digital logistics: how to build WMS, TMS, and an AI platform to speed up delivery and cut costs
How to build digital logistics on WMS, TMS and AI, speed up delivery, raise transparency and cut costs.
Learn moreHow to deploy AI in your company in 9 steps: from strategy to ROI, accounting for risks and compliance
A step-by-step AI implementation plan focused on ROI, risks, data, platform and scaling solutions.
Learn moreHow BPM systems automate business processes, reduce errors, and boost efficiency
How BPM systems help automate business processes, reduce errors, and speed up company operations.
Learn moreCIS businesses lose up to 30% of profits every year: how lack of automation hits revenue, customers, and efficiency
Why CIS companies lose profit without automation and how to reduce costs, errors, and downtime with digital processes.
Learn moreThe Reporting Automation and RPA Market in CIS: XBRL Standards, Trends, Technologies, and Implementation Examples
The market for reporting automation, XBRL, RPA, and LLM agents: trends, implementation cases, and digital transformation approaches.
Learn moreTMS: logistics automation, cost reduction and improved business efficiency
Learn what TMS is and how to choose a transport management system, connect it with ERP and WMS, run a pilot, measure costs, and hand over support.
Learn moreAgile and Waterfall in 2024: why businesses in CIS are choosing hybrid project management methodologies
Why CIS businesses choose an Agile-Waterfall hybrid, how the model works and where it delivers the best results.
Learn moreDocument Automation: ECM Selection, Key Benefits, ROI and Case Studies
How to choose a DMS, speed up document approvals, reduce costs, and assess implementation ROI in practice.
Learn more