| Developers: | Axenix (formerly Aksencher Russia) Aksenix |
| Date of the premiere of the system: | 2022/09/20 |
| Last Release Date: | 2025/07/21 |
| Technology: | BI, SCM |
Content |
The main articles are:
- SCM (Supply Chain Management) - Supply Chain Management (Inventory Management)
- Business Intelligence Definition
2025: Introduction of AI Assistants
Axenix has introduced AI assistants into the In.Plan. integrated business planning platform. This will make the work of users with data more accurate, fast and convenient. The company announced this on July 21, 2025. Intelligent assistants based on Axenix AI agents support key scenarios: help navigate the interface, analyze data, and provide ready-made solutions in dialog mode.
The introduction of AI assistants was a response to the growing business needs for speed and data quality. Axenix estimates that the use of AI can reduce the time it takes to execute non-standard analytical queries. If earlier such tasks took hours or minutes, depending on the complexity of the report and the loading of analysts, now assistants allow you to get the necessary information online. With the maximum use of AI assistants, you can achieve up to 60% improvement in platform efficiency, depending on the scenario.
In.Plan has three specialized AI assistants, each trained on specific data and scenarios.
The platform assistant helps you navigate the interface, knows the documentation and quickly answers questions about functionality. For example, how to set up a graph in the multivariate data analysis tool. The tool is especially useful in everyday work and in mastering the capabilities of the system.
The Analytics Assistant in Demand Planning processes all module data. The user formulates a natural language query - the system provides analytics: from selection and aggregation to visualization and interpretation.
The Analyst Assistant in Supply Planning helps with the analysis in its direction, for example, can show the number of critical alerts by month for the last quarter.
The technological basis of the solution was the Qwen 2.5 model, adapted to the specifics of corporate analytics. Axenix developers have opened AI assistants with full access to product documentation and system data, and have written clear instructions for each assistant. Thanks to this, the assistants work exactly in the context of the platform and understand the tasks of users "half-word." There are no restrictions on the complexity of questions, but in the case of complex and multi-level requests, the waiting period for an answer can be increased.
The product is deployed in a closed loop without access Internet to or in. private cloud The solution architecture guarantees complete security - information all data are stored and processed locally, without being transferred to public. When clouds using external models, for example, ChatGPT there is a special module data protection that filters sensitive information -,, etc personal data. passwords This eliminates risks information leaks and meets the security requirements of corporate clients.
 | In.Plan was created as a tool for specialists to work in complex planning processes. With the growth of data, it became obvious that the AI assistant will be able to relieve part of the load, offer solutions, analyze scenarios and make work in the system really smart and proactive. AI integration in In.Plan is a logical step in the development of the system, aimed at speeding up analysis, reducing routine load and supporting users at all stages of working with In.Plan. Implementing assistants turns the platform from a tool into a decision-making partner. AI agents do not just answer questions - they allow businesses to solve problems in the product more efficiently and faster, focusing on really important aspects of planning, "commented Sergey Mozgerov, Product Director of the In.Plan. platform. |  |
| | We have developed an approach that accelerates the development of AI assistants. As of July 2025, there are three of them, but if new business tasks are identified, the set of assistants will increase. It is especially valuable that AI assistants do not give general answers, but rely on the internal data of the system - precisely its documentation, functionality, process, data from databases and reports. The introduction of assistants removes most of the routine work on search, orientation, basic analytics, so that specialists can devote more time to decision-making. They also lower the entry threshold for new employees, which is very important with new implementations of the In.Plan platform, "added Anna-Maria Long, Practice Analytics Manager at Applied Intelligence at Axenix. | |
2024: "Control tower" module
On March 26, 2024 consulting , the company Axenix announced the expansion of the functionality of the In.Plan platform and introduced the "Control tower" module. The development will allow the company to launch a comprehensive service for building an analytical-based performance management system. dashboards It will be relevant for companies in the & sector, RetailFMCG industrial enterprises, industries transport that need tools to analysts make management decisions.
As reported, supply chain management often faces challenges related to the availability and quality of analytical information for key management decisions. Often, the collection and consolidation of information is accompanied by many manual operations, and the hierarchy of collected metrics does not always allow you to respond to management requests from the operational to strategic level. In addition, companies lack transparency in the reasons for deviations of actual KPI values from target ones.
Axenix offers a comprehensive technology solution that allows you to effectively manage supply chains, optimize operational control, and enable you to find growth points.
Control tower is an analytical tool that allows you to analyze consolidated business indicators in the form of specially designed dashboards. A distinctive feature of the module is a data model with a tiered KPI system, integrated into the In.Plan ecosystem, for example, planned values of transportation, warehouse and production costs. KPIs are aggregated from detailed levels and updated automatically during the integrated planning cycle in the Demand/Supply Planning modules.
Control Tower can be used independently of other In.Plan modules, which will allow you to measure various indicators even before implementing the main integrated planning loop.
Within the framework of the project, specialists from the consulting department of In.Plan and Applied Intelligence Axenix practices will analyze the existing performance management system, business processes and customer KPIs, compare the used indicators with various practices, develop a supply chain performance management system, including a set of KPIs and a methodology for calculating them. At the final stage, Axenix adapts the functionality of the Control Tower module to meet the individual requirements of the customer, as well as, if necessary, configure personalized dashboards.
The implementation methodology was developed on the basis of many years of expertise of the Axenix team. The performance evaluation system is built on the basis of the customer's CVP. At each stage of the value chain, Axenix selects the performance attributes that best match the customer's business. An individual set of KPIs is compiled for each management level - these can be constant and variable costs for logistics, warehouse, transport, etc.
For efficient supply chain management, Axenix offers evaluation metrics for each phase of the Sales and Operations Planning (S&OP) cycle.
The digital integrated planning platform In.Plan is developed on the basis of the experience of the Russian teams Accenture and SAP. The solution combines demand planning, sales and operations, profitability management, supply and production planning, and operational analytics. The platform allows you to automatically plan and adjust demand plans for all hierarchies and planning horizons. For forecasting, you use your own or plug-in predefined AI models.
2022: Announcement of In.Plan
On September 20, 2022, the company AXENIX introduced the In.Plan. integrated planning platform. The Russian The development will help large companies create planning systems in the context of supply chains, the need to reduce costs and the departure of Western vendors. software The solution became the first UPS platform Russia in and the first own AXENIX product after separation from the international network. Accenture
According to the company, In.Plan consists of five main functional units: "Central Forecasting," "Planning sales and Operations," "Profitability Management (NRM)," "Supply Chain Planning analytics " and "Operational Control Tower."
The solution can be used both on the company's own infrastructure and in the cloud. It uses domestic developments and opensource components such as PostgreSQL, Spark, GreenPlum and Angular, which provides customers with independence from Western vendors. In.Plan has the ability to scale horizontally, optimize resources according to the "pay when you use" scheme, as well as built-in integration tools. In addition, the solution distinguishes the flexibility of configuration for the user.
AXENIX also presented a roadmap for the development of the In.Plan. platform. In particular, by the 1st quarter of 2023, the company plans to implement a low-code designer for managing model objects, data provide a tool for scenario planning and implement joint planning functions with partners. Until the end of 2023, the team will continue to develop low-code platform capabilities and provide process algorithms and planning designers, as well as a tool for managing algorithms/. AIML
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