Front is a communication hub that helps businesses keep the human touch in every interaction.
$29
per month per user
Pypestream
Score 7.0 out of 10
N/A
Founded in 2015, Pypestream created the Customer Engagement Center (CEC), a conversational AI solution where the core product, the Customer Engagement Center (CEC), is an all-in-one, cloud-based suite of 12 components designed to transform any business into a fully automated digital brand. With headquarters in New York, Pypestream has a customer base that includes Shell, Chase, Procter & Gamble, Google, Sling, and HBO Max. Pypestream provides customer engagement in several key industries,…
N/A
Pricing
Front
Pypestream
Editions & Modules
Starter
$29
per month per user
Growth
$79
per month per user
Scale
$99
per month (billed annually) per user
Premier
$229
per month (billed annually) per seat (50 seat minimum)
No answers on this topic
Offerings
Pricing Offerings
Front
Pypestream
Free Trial
Yes
No
Free/Freemium Version
No
No
Premium Consulting/Integration Services
Yes
No
Entry-level Setup Fee
No setup fee
No setup fee
Additional Details
Discount for annual pricing on Starter and Growth plans. Scale and Premier plans are annual price only.
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More Pricing Information
Community Pulse
Front
Pypestream
Features
Front
Pypestream
Incident and problem management
Comparison of Incident and problem management features of Product A and Product B
Front
7.6
6 Ratings
8% below category average
Pypestream
-
Ratings
Organize and prioritize service tickets
8.36 Ratings
00 Ratings
Subscription-based notifications
6.84 Ratings
00 Ratings
Ticket creation and submission
7.84 Ratings
00 Ratings
Ticket response
7.84 Ratings
00 Ratings
Self Help Community
Comparison of Self Help Community features of Product A and Product B
Front
7.0
6 Ratings
13% below category average
Pypestream
-
Ratings
External knowledge base
7.06 Ratings
00 Ratings
Multi-Channel Help
Comparison of Multi-Channel Help features of Product A and Product B
I think Front is very useful for every company with multiple teams working together on different emails from clients. Not so useful if a lot of different teams need to work on a request at the same time, because when an email is sitting in multiple shared inboxes things can get messy. Also would not recommend for teams that work is individualized, as team work is the main point of Front.
Pypestream is suited for standard chatbot and conversational flows versus more multi-departmental scenarios. They do very well with guided flow bot services which are great for agent bots within a contact center, but less so for those implementations that have a large document management implementation for FAQs. They do well with service integrations; however, at times troubleshooting edge cases that are impacting performance and adoption can take a while to remedy. I want to believe that better monitoring tools on the platform side would alleviate this for them.
Even if you are just trying to compose a single email, Front gives a smart system that has options such [as] organized templates, tags, alerts, [and] changing your outbound dpt email.
Tasks- with Front you will not miss any interaction. When you are required to get assistance from a coworker, you only need to mention him/her and that notification will appear automatically in their inboxes.
Smart Notifications- sometimes we are just overwhelmed about the several notifications on our devices that we tend to miss some of them, but Front offers a new way to notify every email, discussion, mentioning, or tag that you really would not want to miss.
Their integration to Salesforce is lacking. As the owner of our productivity tools and how they are used, I have very little control over what things to enforce, or even change what objects are available. For example, we don't use Cases in Salesforce but with the Salesforce integration the Cases object shows up. There's no need to have that there. I've heard there is a roadmap improvement forthcoming.
One of our uses is for our sales development reps to prospect with visitors. Because of the high volume of inquiries it's difficult for our reps to efficiently manage all their follow ups. It would be nice if we could run a "scheduled campaign" where a predesigned cadence of email follow ups can be sent automatically. To be clear, they do have a scheduling capability, but it just can't be used as a prebuilt option.
Integrations to other systems require you have a user account to those systems. We have SSO and therefore we don't always have a user account. For example, out integration to Jira uses SSO so we don't each have individual Jira logins. This is an outage for us.
It's very easy to understand and use by new customer support agents as well. Be it a technology, product, or marketing person, we have trained most of the company folks to read and respond to customer conversations in their free time with the help of the Front app. It is also easy to set up for an admin and manage his/her team with communication rules.
The support is good, and it's definitely prompt, but still lags when it comes to technical requirements, as I guess they are slow in developing newer features fast. So no complaints in terms of responsiveness, but yeah, at times it's not very helpful when you need certain features or are blocked on things which can't be unblocked.
This is something I am not familiar but it seems like it is [available] in Gmail. Thus I cannot give any feedback about it. What I am sure about is Front works for our team and I see Zoom using the service in the Customer Success Organization in a long run.
In comparison to Microsoft Bot Framework or now Azure AI service structure, where Pypestream is better suited is in those organizations who want to truly have a partner in development. Pypestream allows the flexibility for your Dev teams to do it themselves, or to be in a managed service where you provide requirements and information and they build and allow you to test and give approvals. They are more willing to work directly with you versus a Microsoft where you will eventually get pushed off to a 3rd party partner to help with advanced implementations.
