Experience Memory
This product is part of a Controlled Release program. For more information, speak with your account representative.
Experience Memory helps your organization recognize customers, remember what's happened with them, and use that understanding to shape better interactions, no matter where or how a customer reaches out. It's a persistent intelligence layer that assembles a complete picture of your customer, using data from every system you have, and delivers it to every handler before an interaction begins.
Experience Memory connects to every system touching your customer journey, including CRM, billing, digital analytics, marketing automation, back-office, external partners, and more. It ingests their signals continuously and assembles a unified, persistent customer profile. That profile is delivered to every AI agent, human agent, or automated handler before an interaction begins, so no handler ever starts from zero.
Experience Memory is part of the pre-handler layer in the NiCE Engagement Orchestration architecture. This layer sits above your CCaaS, whether that is NiCE CXone or a third-party platform, and operates independently of which contact center platform you use.
The Customer Experience Provided by Experience Memory
Without Experience Memory, a customer who visited your website, called yesterday, and just opened a billing notification arrives at your contact centre as an unknown caller. Your agent or AI bot starts from scratch trying to understand their journey.
With Experience Memory, that same customer arrives with their complete journey already assembled: the website visit, a brick-and-mortar visit, telemetry, appointment, handheld/wearable device, the prior call, the billing notification, and everything else your connected systems know about them. The system delivers this information to the handler before the first word is spoken.
What this means for your customers is that they stop repeating themselves. Every handler, whether AI or human, begins the interaction already knowing who they are, what they have experienced recently, and what they are likely to need.
How Experience Memory Works
Experience Memory operates in three continuous stages: ingesting signals from connected systems, assembling and resolving a customer profile, and delivering that profile to handlers at the moment of engagement.
Stage 1: Signal Ingestion
Experience Memory connects to your existing systems and ingests their signals continuously, no matter if an active customer interaction is taking place. You do not need to migrate your data. Your systems stay exactly where they are.
It can ingest data from almost any source, including interaction events, CRM records, billing and back-office software, or digital and app activity. It can pull in marketing engagement data such as email opens or campaign responses, and ingest signals from connected external partners. For example, if can pull in data from delivery services, payment processors, insurance providers, and so on.
Activity is captured as it happens. Experience Memory begins ingesting signals before a customer identifies themselves. Website visits, app sessions, and device events are captured as anonymous profiles from the first signal. The identity resolution process is described in Stage 2 below.
Stage 2: Profile Assembly and Identity Resolution
Some activity is immediately tied to a known customer. Other activity isn't. For example, someone browsing a website without logging in may not be immediately identifiable. In that case, Experience Memory holds onto that unrecognized activity for a set period of time. During that time, it periodically checks whether it can now be matched to a known customer, such as when that same visitor later logs in.
Once activity is matched to a customer, it's woven into that customer's profile. The profile is a single, ongoing identity record that anchors all future matching decisions. It's made up of details that help confirm who the customer is and other descriptive information about them. The system continues to build each customer's profile over time.
Stage 3: Context Delivery and Write-Back
Once a piece of activity has been matched and connected to a customer profile, a receiving system gets a single, connected record of that activity and can act on it. The receiving system may be part of Experience Memory or a separate NiCE product.
Every interaction makes the profile richer. The outcome of each engagement (transcript, resolution, follow-up) writes back to Experience Memory automatically. Each subsequent interaction begins with a more complete picture than the one before it.
The Result of Using Experience Memory
This section describes what changes when Experience Memory is active: what changes for your customers, your agents, and your organization, and how to measure that impact over time.
What changes for your customers
- Customers stop repeating themselves. Every handler, AI or human, begins the interaction knowing who the customer is and what they have experienced recently. The first question is never 'what are you calling about' when the system already knows.
- Customers feel known across every channel. Whether a customer contacts you by voice, chat, WhatsApp, or any other connected channel, Experience Memory delivers the same complete profile. Channel switching does not reset the customer's context.
- Customers are reached before they need to contact you. When Experience Memory detects a signal pattern indicating a customer may have an upcoming need, that signal can trigger Proactive Outbound — resolving the issue before the customer has to initiate contact.
What changes for your agents and AI
- Agents start every interaction with full context. The customer's complete profile — prior interactions, account status, recent signals, open issues — is visible before the conversation begins. Average handle time typically decreases as agents spend less time gathering information they no longer need to ask for.
- AI agents work from the same record as human agents. When an AI agent hands off to a human, no context is lost — both work from the same profile, and the handoff continues exactly where the AI left off.
- Back-office issues are visible before customers call about them. When a billing error, delivery failure, or service disruption is detected in a connected system, agents see it in the customer profile — often before the customer has contacted you about it.