Implementing Private LLMs to Optimize
All abbreviations, tool names and terms marked *Click on them to go to the detailed decoding at the bottom of the page.

Private LLM for Business Optimization

We're introducing private LLM• Automating processes, reducing operational costs* 35% faster and faster workflows* 3 times local. AI*-solutions provide data privacy* and growth ROI* up to 4x.

Start optimizing

Sparks of genius for your business

Private. language-models* Transforming business processes, from customer support* content generationWe're turning around. LLM* on your servers using Hugging Face* LLaMA* providing data privacy* and compliance with data protection requirements, which reduces manual work* 70% higher and higher efficiency50%.

For e-commerce*-platforms we've implemented LLM* Automating responses in Telegram* Reduce the response time from 15 minutes to 10 seconds and increase the response time customer satisfaction* by 30%. Integration with Bitrix24* Apache Kafka* Processing 500k+ requests/day with latency* <100 ms.

How do we work?

Process Audit: Analyzing the Process workflows* with help BPMN* CamundaTurning around. LLM* on the base Hugging Face* LLaMA* integrate with CRM* data lake* APIFor you. B2B*---this company reduced the time of processing requests by 80%, increasing the time of processing of requests ROI* up to 4.2x.

Automation with LLM* From support to analytics

Private. LLMThey automate routine tasks like query processing, word generation, data analysis. Hugging Face* to customize models such as BERT* Grok*, for business purposes. Local deployment to Kubernetes* Provides uptime* 99.9% and data privacy*.

How we use it. LLM*

Customer Support*

LLM* Telegram* VK• Processes 85% of requests automatically, reducing the load on operators by 70%. fintech*-- the company reduced the response time from 10 minutes to 15 seconds, increasing the response time retention25%.

  • Integration with Bitrix24* to escalate complex requests.
  • NLP* for tone analysis, accuracy of 92%.
  • Savings of 1.5 million ⁇ /year on support.

Content Generation*

LLM* Creates product descriptions, posts for VK* and emails via email MauticFor you. e-commerce* This has accelerated content creation for 10k+ products by 90%, increasing the number of products in the market. CTR20%.

Apache Airflow* orchestrate data pipelines*, integrating LLM* Kafka* for processing real-time dataFor you. SaaS*----------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------- user behavior*, shortened churn* 15% with accuracy* 91%.

Analytics and personalization with LLM*

LLM• Analyze large amounts of data, identifying insights* lead scoring* predictive analyticsWe're integrating models with Apache Flink• to handle 1M+ events/sec, providing latency* <50 ms. Для B2C*- business it's increased conversion rate28% through personalized offers.

How we implement analytics

Recommendation Engine*

LLM* TensorFlow* Make recommendations by analyzing user behaviorFor the marketplace, it increased. cross-sell* 35 percent and revenue* by 4 million ⁇ .

  • Fine-tuning* models for your business.
  • Integration with Pimcore* for 20k+ products.
  • ROAS+40% due to point targeting.

Process mining* Celonis* LLM* reveals bottlenecks* in processes, reducing cycle time* 60 percent. fintech* it optimized onboarding* Reduced the time from 5 days to 1 day.

Integration and Management: Complete Control

Kubernetes* Provides scalability LLM*, processing 200+ requests/sec with auto-scaling*. Airflow* orchestrate data pipelines*, integrating LLM* analytics* Bitrix24For you. SMB* This reduced the time for analytics from 20 hours to 2 hours.

How we integrate

Seamless integration

API*-integration with CRM*, ERP*, and social media (VK*, TelegramFor. e-commerce* it increased close rate* 15% to 32%.

Apache Superset* visualize KPIs*: cycle time*, conversion rate*, ROIFor you. fintech* Superset• Identify 25% of ineffective processes, reducing the number of operational costs30%.

Visualization and monitoring: Data for solutions

Grafana* monitor time-series* data from LLM*, sending alerts* Telegram* anomalies* (>150% spikes). SaaS* it's cut down downtime* 90% saving 2 million ⁇ Redash* ad-hoc queries* Accelerated analysis KPIs60%.

How we use visualization

Interactive BI*

Superset* drill-down* data lake* speeds up insights65%. Caching* * * * * * * * * * * * * * * * * * * * * * * * * * * * * * * * * * * * * * * * * * * * * * * * * * * * * * * * * * * * * * * * * * * * * * * * * * * * * * * * * * * * * * * * * * * * * * * * * * * * * * * * * * * * * * * * * * * * * * * * * * * * * * * * * * * * * * * * * * * * * * * * * * * * * * * * * * * * * * * * * * * * * * * * * * * * * * * * * * * * * * * * * * * * * * * * * * * * * * * * * * * * * * * * * * * * * * * * * * * * * * * * * * * * * * * * * * * * * * * * * * * * * * * * * * * * * * * * * * * * * * * * * * * * * * * * * * * * * * * * * * * * * * * * * * * * * * * * * * * * * * * * * * * * * * * * * * * * * * * * * * * * * * * * * * * * * * * * * * * * * * * * * * * * * * * * * * * * * * * * * * * * * * * * * * * * * * * * * * * * * * * * query time* up to 1.2 seconds on 3M rows*.

Dashboards* actionable insights*: CAC* 3000 ₽, LTV* 35000 ₽, revenue+40% through automation.

Decoding of terms

  • LLMLarge Language Model is a large language model for text processing.
  • Hugging Face: Platform for development and customization of LLM.
  • LLaMAA family of models from Meta AI for local use.
  • GrokxAI AI model for analysis and text generation.
  • BERTBidirectional Encoder Representations from Transformers (NLP)
  • Apache Kafka: A platform for data streaming.
  • Apache AirflowThe instrument for orchestrating data pipelines.
  • TensorFlow: Framework for ML models.
  • Camunda: A platform for modeling and automating processes.
  • Celonis: Tool for process mining.
  • Apache Superset: BI tool for dashboards.
  • Grafana: A platform for visualizing time-series data.
  • Redash: A tool for SQL queries and visualization.
  • Bitrix24CRM system for customer management.
  • Yandex.Metrica.: Analytics service for traffic.
  • VK: Social networking for promotion.
  • TelegramMessenger for campaigns and notifications.
  • Mautic: Marketing automation platform.
  • PimcoreProduct Management System (PIM) and Media (DAM)
  • data privacy: Protection of personal data.
  • ROIReturn on Investment – Return on Investment.
  • operational costs: Operating expenses.
  • workflows: Sequences of business processes.
  • customer support: Customer support.
  • content generation: Automatic creation of texts.
  • manual work: Manual processes.
  • efficiency: Process efficiency.
  • customer satisfaction: Customer satisfaction.
  • retention: Customer retention.
  • NLPNatural Language Processing: Natural Language Processing.
  • churn: Outflow of users.
  • accuracy: Prediction accuracy.
  • data pipelines: Data processing pipelines.
  • real-time data: Real-time data.
  • user behavior: User behavior.
  • lead scoring: Lead assessment by potential.
  • predictive analytics: Data-based forecasting.
  • conversion rate: Percentage of targeted actions.
  • recommendation engine: A system of personalized recommendations.
  • cross-sell: Cross-selling.
  • revenueSales revenue.
  • fine-tuning: Accurately adjusting models for tasks.
  • ROASReturn on Advertising Spend – Return on Advertising Spend
  • process mining: Log analysis to optimize processes.
  • bottlenecks: Bottlenecks in the processes.
  • cycle time: Process execution time.
  • onboarding: User integration.
  • Kubernetes: Platform for orchestrating containers.
  • auto-scaling: Automatic scaling.
  • latency: Delayed processing of data.
  • uptime: Uninterrupted operation time.
  • API: Interface for system integration.
  • CRMCustomer Relationship Management – Customer Relationship Management.
  • ERPEnterprise Resource Planning – Resource Management.
  • BPMNBusiness Process Model and Notation is a process modeling standard.
  • data lake: A raw data warehouse.
  • e-commerce: E-commerce.
  • fintech: Financial technology.
  • SaaSSoftware as a Service – Software as a Service.
  • B2BBusiness-to-Business is a business for companies.
  • B2CBusiness-to-Consumer is a business for consumers.
  • SMBSmall and Medium Business is a small and medium-sized business.
  • close rate: Percentage of closing transactions.
  • CTRClick-Through Rate – Percentage of clicks.
  • KPIsKey Performance Indicators: Performance Indicators.
  • time-series: Data ordered over time.
  • alerting: Notification system.
  • anomaliesAnomalies in the data.
  • ad-hoc queries: Data requests on demand.
  • downtime: System downtime.
  • interactive BIInteractive business analytics.
  • drill-down: Details of data.
  • insights: Useful conclusions from the data.
  • caching: Data caching.
  • query time: Time of execution of requests.
  • rows: Data lines in analytics.
  • cost savings: Cost savings.
  • throughput: Capacity.
  • MTTRMean Time to Resolve – Time to Resolve Errors
  • PIMProduct Information Management – Product Data Management.
  • DAMDigital Asset Management – Media Management.
  • AIArtificial Intelligence is artificial intelligence.
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