Gap, Inc Transforms In-Store Experience with AI-Driven Networking
Game-changer Mist AI lets clothing innovate
Wireless is no longer a nice-to-have — it’s a necessity. Discover how Gap, Inc. embraced and deployed Juniper’s AI-driven networking solutions across their entire network, changing forever how shoppers interact with their brand and giving customers and employees the best in-store Wi-Fi experience possible.
You’ll learn
How Gap started from scratch to rebuild their infrastructure with Mist AI
How the Juniper Marvis Assistant helped troubleshoot and solve problems fast
Why Gap considers the AI implementation a success for its business and its customers
Who is this for?
Guest speakers
Transcript
0:00 [Music]
0:00 gaap has long been a leading retail
0:03 brand which was why they were one of the
0:05 first to really embrace ai-driven
0:07 networking solutions the retail
0:09 environment is very dynamic
0:11 to stay at the forefront of technology
0:13 we have built a strong foundation of
0:15 mist ai-based wireless
0:18 the wireless is no longer a nice to have
0:21 as it used to be and actually a
0:23 necessity in our stores
0:25 our strategy is to continue optimizing
0:27 our wireless network and relying on it
0:30 to deploy more and more services as part
0:32 of a more our modernization effort but
0:35 all projects bring their problems
0:37 especially with an operation the size of
0:39 gaps
0:40 adoption of a new solution can be very
0:42 challenging at times especially if
0:44 you're deploying it in thousands of
0:46 stores like us so with the missed
0:48 deployment we took an opportunity to
0:50 start from scratch and get rid of all of
0:52 our tech debt that we had accumulated
0:54 over a period of time
0:55 we not only deployed an ai-based
0:57 wireless network but also started
0:59 getting lost lot of visibility from the
1:01 mist
1:02 in terms of sles the service level
1:05 expectation uh for the entire fleet of
1:07 stores
1:09 the marvel ci assistant added cherry on
1:11 top of it by helping us troubleshoot the
1:13 problems faster and using marvis we were
1:15 able to push the
1:18 escalations and resolutions to our tier
1:20 one operations team where they were able
1:21 to troubleshoot the problems much faster
1:24 now we not only can troubleshoot the
1:27 issues faster but also have data to
1:29 check if
1:30 it is a network problem or something
1:32 else
1:33 deploying juniper's ai technology across
1:35 the network has brought gaps some very
1:37 tangible results overall the visibility
1:40 the sle and marvis ai has helped us a
1:43 lot to analyze and troubleshoot network
1:45 problems and reduce store visits and
1:47 those are the factors that we consider
1:50 as the main factors to call our project
1:53 successful
1:54 using mist we were also able to reduce
1:56 the store visit by about 85
1:59 and this is just one way that gap are
2:00 using the latest networking technology
2:03 to drive their business forward
2:05 at gaap our primary focus is always to
2:07 meet business requirements and innovate
2:09 in that process to meet customer needs
2:11 as well and our wireless deployment is a
2:14 prime example of that
2:16 that approach
2:23 you