REHATCH Inc. (Headquarters: Chiyoda-ku, Tokyo; Representative Director: Ryota Sakoda) announced the adoption of its Marketing AI OS 'ENSOR' by Lotnest Co., Ltd., a company specializing in advertising and marketing support for the beauty sector (e.g., hair removal salons).

About the Company Lotnest Co., Ltd. is an advertising and marketing support firm with 25 employees. Their core business involves managing ad operations for multiple clients, primarily DtoC brands, requiring rapid PDCA cycles for creative assets. Without dedicated in-house designers, project managers handled production tasks while outsourcing, mass-producing 300 creatives (including 150 still images) per month.

Background of Adoption Amidst the industry-wide trend where 'the importance of creative assets is increasing,' Lotnest faced a situation requiring the production of over five new banners per week. However, relying entirely on outsourcing led to high costs and risks of falling behind competitors in speed due to the wait times for requests, communications, and deliveries for minor revisions (text replacement, image changes, resizing).

While considering in-housing, they encountered ENSOR. They determined that its ability to 'immediately resize and replace elements from existing banners' and 'preset functions usable by non-designers' directly solved their on-site challenges. The adoption was decided under the leadership of Mr. Matsuoka, responsible for launching the creative department.

Future Expectations With the introduction of ENSOR, the company aims to bring 20-30% of current still image production (150/month) in-house within the first month, and over 50% within three months. The estimated annual impact of outsourcing cost reduction is over 2.4 million yen. By establishing a system to mass-produce creatives within a fixed monthly cost of 100,000 yen, they expect to drastically improve their cost structure while maintaining production speed and volume.

FACT BOX

  • Source: PR TIMES
  • Category: New Product
  • Products / services: ENSOR