Technology Category
- Analytics & Modeling - Real Time Analytics
- Platform as a Service (PaaS) - Application Development Platforms
Applicable Industries
- Finance & Insurance
Applicable Functions
- Logistics & Transportation
- Sales & Marketing
Use Cases
- Real-Time Location System (RTLS)
- Supply Chain Visibility
About The Customer
The customer is a multi-level marketing company that operates in the beauty, household, and personal care categories. It is one of the largest direct selling enterprises in the world. The company was facing significant challenges in its supply chain management, primarily due to its inability to sense and respond to demand and supply disruptions in a timely manner. This was further complicated by a lack of coordination between the commercial, financial, and supply chain functions, leading to disjointed operations and decision-making. The company also lacked the capability to conduct real-time scenario planning, which prevented them from evaluating the financial impact of various scenarios and assessing the supply chain supportability of different scenarios.
The Challenge
The company, a global leader in direct selling of beauty, household, and personal care products, was grappling with significant challenges in its supply chain management. The primary issue was the inability to sense demand and supply disruptions in a timely manner, which hindered their response to these disruptions. This was further complicated by a lack of coordination between the commercial, financial, and supply chain functions, leading to disjointed operations and decision-making. The company also lacked the capability to conduct real-time scenario planning, which prevented them from evaluating the financial impact of various scenarios and assessing the supply chain supportability of different scenarios. The marketing, sales, finance, and supply chain functions were operating in silos, each with their own assumptions and versions of the truth.
The Solution
The company adopted the o9 Control Tower, a platform that enabled them to connect to multiple internal and external data sources, thereby allowing them to spot risks and opportunities faster. The platform helped the company sense, translate, and evaluate these risks and opportunities, providing users with actionable insights to address the disruptions. The o9’s differentiated platform, supported by the Enterprise Knowledge Graph, enabled the company to conduct scenario planning and evaluate the full P&L impact in real-time, including supply chain supportability. The platform also served as a collaborative tool for Integrated Business Planning, bringing together the various functions (sales, marketing, finance, supply chain) and driving more fact-based decision-making. This resulted in faster execution and better accountability. The o9 Enterprise Knowledge Graph was used to sense and respond to demand and supply disruptions in real time, running the entire Control Tower and IBP processes on a single integrated collaborative platform, thereby establishing a single source of truth.
Operational Impact
Quantitative Benefit
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