Revolutionizing Collection Development
ESP harnesses the same Machine Learning methods that drive Apple’s Siri, Google’s Assistant and the recommendation engines at Netflix and Amazon to predict how current and forthcoming titles will perform in your library’s collection.
Continue Reading »Which titles? ESP’s Powerful Ranking engine examines evidence of author’s past performance, BISAC performance, title reviews and demand to recommend titles that will perform well in your collection.
How many copies and to which branches? ESP’s Distribution function suggests how many of each title to buy and how to share those titles across library branches based on local circulation evidence. ESP understands that every community is different and so empowers you to create unique distribution goals to meet the needs of each branch.
Maximize circulation
Reduce Dead Items
Increase turnover
Meet the needs of your community
“ESP pays for itself with what you save not buying books you don’t need.”
- Matthew Bowers, New Orleans Public Library
"Westminster Public Library has used collectionHQ for over four years. Combined with ESP, collectionHQ is a key component in our ability to have centralized collection development with very limited staff. It has also helped us build a hyper-local, community-focused collection that reflects our organization’s mission and values."
- Jessi Barrientos, Westminster Public Library
With budget constraints and limited resources, libraries can’t be expected to invest millions in research and development, experiment with unproven gadgets, or compete with the tech giants driving these changes. Libraries have to apply the assets that make them unique - their role at the heart of the community and knowledge of patrons - to not only keep up with technological advances, but to promote reading and literacy among all ages to reduce societal divides for generations to come.
Contact Us
Please share your details and our team will be in touch