Project Background

In the past few years, the penetration of traditional personal care consumer electronics products online has gradually saturated. Meanwhile, the accelerating digital transformation of many brands' direct-to-consumer (DTC) channels has intensified competition in the category. The cost of acquiring customers for brands has been increasing year by year. Strengthening overall audience operations, understanding product trends, optimizing explosive product marketing, and matching people and goods across multiple channels have become major challenges for Philips' sales management.

Infodator launched the iBot and AI Lab product groups in the sales and operations departments. Through comprehensive data analysis, it identifies consumer selling points and builds a comprehensive insight and follow-up system around the products. This system provides a real-time, rapidly executable product strategy guide. Combined with algorithmic models, it helps Philips create super hit products.

Project Description

Data Engine Construction： 

Utilizing bots to automate updates for the PO system and CRM system customer information, and integrating the CRM with the DMS system, enabling real-time synchronization of sales and operational data, achieving comprehensive platform-wide synchronization and unification of business opportunities, customer basic information, purchase history, needs, and preferences.

Algorithm Empowerment for Overall Operations:

Philips has numerous off-site channels. Infodator's AI Lab utilizes relevant algorithmic models to quantify the brand's marketing spending outside the domain and establish correlations. It combines complex and scattered off-site channel data to achieve measurability and observability, thereby linking the overall business and assisting in resource communication and allocation for the marketing team.

Multi-Channel Matching of People and Goods:

Infodator addresses Philips' refined operational needs by using digital tools to categorize previously broad audiences. This improves the match between target audiences and product selling points, enhances reach within a certain timeframe, and boosts conversion rates, thereby promoting brand positioning and growth opportunities.

Investment Decision-Making:

To better determine the brand's budget investment direction in the continuously segmented market, predictive investment models based on digital tools can forecast potential sales opportunities. This helps the brand effectively manage products and make precise investments, providing comprehensive references for Philips in key projects such as new product development, major promotional campaigns, and membership programs.

Project Results

As a veteran brand, Philips remains a leader in the industry in the face of fierce competition, thanks to its commitment to digital transformation. Particularly in consumer connectivity, the layout of intelligent operations capabilities has been crucial. The collaboration between both parties, starting from brand needs, ensures that every budget allocation yields returns. This has effectively freed up 3500 person-days of manpower, resulting in a sixfold increase in work efficiency and achieving a data accuracy rate of 100%. This partnership has facilitated Philips' completion of its digital sales management upgrade. Leveraging digital capabilities, it provides digital product recommendations and conducts continuous tracking and accumulation in the pre-, mid-, and post-periods, bringing consumers more youthful, professional, and high-end personal care products and solutions.