【Lechler】Announcement of Participation in Achema 2022

The newly developed spray nozzle by Lehira! A suitable spray nozzle is essential for producing powder!!

Lechler Spray Drying Nozzle Commonly known as: DryMASTER Lechler, with over 140 years of history and experience, has positioned itself to challenge new fields by developing and starting the sale of a spray nozzle specifically for powder drying. Creating uniform powders through spray drying required various innovations. Additionally, the DryMASTER nozzle can be used for countless applications. It is suitable for powder production in food, as well as in pharmaceuticals. It complies with FDA (U.S. Food and Drug Administration), EC No. 1935/2004, and GB4806 standards. The groundbreaking initiative of this product is the Lechler Carbon Recycling Program, which considers SDGs (Sustainable Development Goals) and focuses on recycling consumable carbon materials. In other words, it aims to recycle consumables. This is a first in the nozzle industry. This product is different from conventional nozzles!

• Heat and Drying Treatment Systems

We offer a variety of designs for dual-fluid spray nozzles!

The Lechler GmbH two-fluid micro-spray nozzle uses a precise amount of air to achieve high-precision spraying. Utilizing air pressure for spraying, it can also be used for spraying high-viscosity liquids. The liquid delivery system of the two-fluid micro-spray nozzle has three types: ○ Siphon type ○ Gravity type ○ Pressure (pressurized) type These methods of liquid delivery are enhanced manually or automatically according to the required particle size. The spray shapes include flat (fan-shaped), wide-angle full cone (full surface type), and narrow-angle full cone (full surface type). *Lechler GmbH is a German spray nozzle manufacturer.

• others

We provide efficient and effective corrosion-resistant ceramic nozzles for flue gas desulfurization towers from spray nozzles used for denitrification that require complete evaporation.

Rechler, a company with 140 years of history and tradition, offers specialized spray nozzles. Various power plants, including coal-fired plants that are forced to reduce CO2 emissions, use spray nozzles for denitrification systems and spray nozzles for flue gas desulfurization towers. For denitrification, where complete evaporation is necessary, efficient and effective chemical reactions are required within the flue gas desulfurization tower, and ceramic nozzles that are resistant to corrosion and wear are essential. Rechler has also started providing mist separators, which are always necessary at the top. In addition to power plants, there is also a growing need for scrubbers in shipbuilding, and Rechler supplies various types of spray nozzles and mist separators.

• Piping and electrical wiring materials
• Thermal power generation

We are pleased to announce the archive distribution of our seminar titled "New Plan 'Mojitori Plus' Debuts! From Paper to Data! The First Step Towards In-House DX with Mojitori." 'Mojitori' allows you to convert text from photos, images, PDF files, and more into data, automatically inputting it into various fields in kintone. In this seminar, we will clearly explain the basic functions and usage of Mojitori. Additionally, we will provide detailed explanations about the Plus plan and the document-focused Mojitori, which were added in the major update in November. 【Recommended for】 - Those who are struggling with frequent transcription errors due to manual data entry. - Those who wish to digitize items currently stored on paper. 【Timetable】 - Overview of Mojitori's functions - Overview of Mojitori Plus's functions - Details and pricing of each plan - Q&A session We look forward to your registration.

Is the performance report you are currently creating, which takes a tremendous amount of time and effort, appreciated by the management? Are you facing complaints from management such as: - The reports are coming out late (results from the previous month are reported around the 20th of the current month) - The reports are difficult to understand and hard to read - There is missing necessary information In this seminar, we will introduce a new system for managing performance information that addresses these issues, along with specific methods. The cost is free. We encourage you to participate. □ Seminar Content 1. What is performance improvement? 2. What information is useful for performance improvement? 3. How to view performance information 4. A system for automatically generating performance information and accessing necessary information when needed (Using our company's developed performance information management tool as a model)

Holding a management strategy seminar to "embed" generative AI and connect it to organizational outcomes! Are you facing challenges such as "not knowing how to use it," "lack of progress in utilization," or "not being embedded due to organizational rules and management" while advancing AI implementation? In this seminar, we will thoroughly explain the secrets to realizing an organization where AI operates autonomously, drawing from the generative AI training of Panhouse Co., Ltd. and the management methods of Shikigaku Co., Ltd. In particular, we will share specific case studies of the "Agent Model AI," which is gaining attention as a next-generation AI application, along with organizational design know-how for integrating generative AI into business, management pitfalls that hinder embedding, and their solutions, all accompanied by concrete examples. What you can learn in this seminar: - Experiences and case studies of Agent Model AI (exabase generative AI demo) - Initial preparations and design know-how to accelerate AI utilization - Key management points to break down organizational barriers that hinder AI embedding If you are in management or responsible for ensuring that generative AI becomes a "truly usable" system rather than just "trying it out," we encourage you to participate in this opportunity.

We are pleased to announce that Pan House Co., Ltd. will be participating in the online marketing conference "Data Driven Marketing 2026," which will be held from January 14 (Wednesday) to 16 (Friday), 2026. At this event, where professionals achieving results at the forefront will gather, our Chief Integration Officer, Tsubasa Kimura, will explain the new organizational approaches utilizing AI. Organizational Theory for "Maximum Effect with Minimal Effort" in the AI Era As AI technology rapidly evolves and the marketing environment changes significantly due to cookie regulations, relying on "past success experiences" and "intuition and experience" is reaching its limits. In this session, we will focus on how to utilize AI not just as a tool, but as a strategic infrastructure to build competitive advantages for organizations. We will discuss specific examples and methods on how to maximize the efficiency of marketing operations and establish an organizational structure that leads to results with minimal effort.

"Where should we start with AI implementation, and how can we expand it company-wide?" The reason for the slow progress in AI implementation is not the tools themselves. The key lies in project design that encompasses everything from creating guidelines to establishing a promotion system and turning success stories into models. In this webinar, we will systematically explain the types of AI implementation projects that successful companies practice to overcome the "zero-to-one barrier" and the "utilization promotion barrier." Both companies that have not yet implemented AI and those that are stagnating in their utilization will gain clarity on their respective starting points and take home actionable "answers at the action level" that can be executed starting tomorrow in just 60 minutes. Recommended for those facing the following challenges: This webinar is ideal for individuals in departments at the level of section chief or higher who want to promote AI implementation as a project. Companies that do not know how to "start" AI implementation (zero-to-one stage) Companies that have implemented generative AI but are experiencing stagnation in its utilization Companies lacking a driving force or where the initiative is not moving forward, struggling with individualization and the lack of established training Companies that are looking to expand company-wide but are unclear on how to horizontally deploy Companies considering the introduction of AI training (especially in the pre-approval stage)