Splice Machine and Intrigo Systems Partner on Predictive Supply Chain ApplicationsTuesday, April 3, 2018
Splice Machine announced it has partnered with Intrigo Systems, provider of enterprise and cloud solutions in e-commerce, supply chain and procurement. Together, the companies will bring solutions to market that leverage Splice Machine's Online Predictive Processing (OLPP) platform and Intrigo's expertise in developing cutting-edge supply-chain applications for retailers, manufacturers and logistics providers.
The first customer of this partnership is Infinera, which provides Intelligent Transport Networks, enabling carriers, cloud operators, governments and enterprises to scale network bandwidth. Infinera is deploying a cloud-based order promising and scheduling service that enables automated lookups of order promising and scheduling dates across multi-line order quotes. The solution includes a web-based user interface for performing the order promising and scheduling queries, as well as a scalable backend infrastructure to synchronize inventory reservations with ERP order data.
"This order promising and scheduling solution gives our salespeople a real-time reservation tool to better serve our customers and make reliable commitments on behalf of our enterprise," said Todd Toumala, CIO, Infinera. Additionally, we will get an early warning system of orders threatened by unexpected shortages and tools to re-optimize."
"Current processes are fragmented and full of latency because requests for promise dates touch multiple systems and require human invention to provide an answer," said Monte Zweben, CEO, Splice Machine. "Not only do salespeople in the field lack fast answers for customers, they also don't have the best answer – the one that can leverage what-if planning to predict how a company can best serve all of its customers. With Intrigo, we have found the perfect partner to realize the promise of predictive applications in the supply chain."
The Splice Machine OLPP platform provides customers with predictive applications that go beyond currently available offerings, without being overly complex or costly to develop, deploy, scale and operate. Unlike most databases, Splice Machine's scale-out SQL RDBMS can run fast OLTP and in-memory OLAP on the same platform, with machine learning and streaming. This hybrid capability enables real-time order promising and scheduling by keeping every inventory change materialized in tables so that inventory checks are single record lookups of availability, versus doing dynamic calculations netting demand against supply. Materializing every change requires a scale-out architecture with OLTP storage representation and indexes for speed.
"Our customers look for us to push the envelope with technology when it comes to improving their operations," said Santhosh Kumar, Chief Technology Officer, Intrigo. "We're excited to partner with a database company whose leadership team knows the supply chain firsthand, and work with a platform that can power smart, predictive applications across the supply chain – from order promising and scheduling to preventive maintenance and parts optimization."
The Splice Machine and Intrigo partnership is actively developing the order promising and scheduling solution for Infinera, with an anticipated launch in the first half of 2018.View all Industry News