Our customers apply the Saffron Natural Intelligence Platform in a variety of ways. If your data is complex and large, if you have disparate data sources within which your experience resides, or if your questions don’t organize themselves in neat, orderly, unchanging “rules,” Saffron can help.
“Saffron is enterprise ready.”
– Global Manufacturing Company
Following are examples of how Saffron is helping companies serve customers while saving them time, money and achieving better business results.
Industry: Global Manufacturing
Customer: Confidential
Business Challenge: Supply chain management – machine-parts failure analysis
Situation:
Customer had been trying for over a year to identify why they couldn’t trace the connections among work orders, supplier orders, engineering orders, and the like, to identify root cause of a significant parts defect. Data was stored in some 40 disparate databases, and text was inaccessible within transactional type records.
Saffron’s Solution:
Customer applied Saffron’s “Connections” Reasoning Method to find in the Experience the root cause of the problem in a matter of days after the data had been ingested into SaffronMemoryBase.
Results:
Quantitative metrics are customer confidential. Time to discovery and action was accomplished by customer’s subject matter expert at the start of the sense making process using SaffronAnalyst.
Industry:Manufacturing
Customer: Confidential
Business Challenge: Supply Chain Optimization – Replacement components inventory management.
Situation:
A critical product asset required an inventory of certain made-to-order components, rapid replacement of which was time-sensitive in order to assure end-user satisfaction and stem financial losses for extended product downtime. Company maintained many disparate data files across multiple divisions but could not discern best method for replacing a certain critical component in a time efficient manner nor expose their prior experience with related situations across the enterprise.
Saffron’s Solution:
Using the “Analogies” Reasoning Method, customer isolated the Experience within the disparate data sets to identify how the component was replaced in the past. By answering questions such as who, what, when, where and why with accurate outcomes, Saffron improved the time to identify and find replacement parts from hours down to minutes.
Results:
Quantitative metrics are customer confidential
Industry: Manufacturing
Customer: Confidential
Business Challenge:
Corporate purchasing cards were being misused all across a large, multinational organization. Rogue spending and potential spend aggregation were hard for management to pinpoint using traditional spend management tools then in use.
Saffron Solution:
Using the power of the Connections and Analogies Reasoning Methods, customer was able to identify from their Experience purchasing card spend aggregation for even “non-obvious” transactions across multiple cards. This enabled the customer to pinpoint the errant individuals and their departments.
Results:
The solution resulted in significant savings across multiple spend categories.
Quantitative metrics are customer confidential.
James Kirk is CMO at Saffron Technology +James Kirk
