Supply Chain Optimization
VALUE PROPOSITION
- Dramatically more efficient supply chain operations, both as normal operating procedure and in times of unforeseen external occurrences
- Unparalleled deployment speed with only 2 weeks to complete a Proof of Concept and extremely short periods for subsequent stages, achieved due to ELEMENT’s ability to seamlessly incorporate any source of data
- A major Digital Transformation leap, utilising ELEMENT’s schemaless Knowledge Graph technology, creating a detailed mapping of sector concepts, parties involved, transactional data, and influences such as location, weather and time
- Lower Total Cost of Ownership, accomplished by shifting to OpEx via a low code cloud platform and decreasing labor-intensive tasks by embedding Composite AI technologies
Supply chain optimization platform with AI-driven analysis, making automated recommendations more precise & timely and staff insights more strategic – increasing profitability and enabling Digital Transformation
BACKGROUND
Leading U.S. cable TV services/hardware supplier was struggling to contain rising costs of set-top box inventory and transportation
Logistics and Operations managers were making partially-informed, subjective supply decisions due to siloed view of relevant data
Inability to detect timely trends and past discrepancies was resulting in over- and under-shipment
TARGETS
- Accurately forecast set-top box customer replacement and inventory replenishment needs based on wide range of drivers
- Optimize inventory, energy and manpower across the entire supply chain
- Process complex, heterogeneous data from internal systems and external sources for forecasting and future operational purposes
ADDRESSING THE NEED
- Innovative knowledge graph captures a rich representation of all related supply chain factors, from product performance to inventory / transportation / suppliers by location, customer history and usage cyclicality, even weather
- Sophisticated AI self-learning model generates fully optimal decisions without requiring scarce data science expertise or lengthy analytics projects
- Automatic alerts and proactive recommendations to staff and management keep Operations performing at peak efficiency
Other Use Cases
