Customer Support

AI Support Agents With
Emotional Intelligence

Multi-sector memory that remembers customer history, learns communication preferences, and adapts tone based on sentiment—not just keyword matching.

Emotional Intelligence That Adapts

AI agents that learn customer preferences and adapt communication style based on sentiment

Support Agent

Online

I was charged twice for my subscription renewal. This is the second time this has happened!

I understand your frustration. I can see this happened before. Let me fix this immediately—I'm processing a full refund and applying account credit to prevent future issues.

How long will the refund take?

3-5 business days. I've also added $20 account credit available now. I'll follow up in 24 hours to confirm everything's resolved.

Thank you, I appreciate the quick response and the credit.

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Customer Memory Profile

Emotional
Communication Style
Prefers direct, solution-focused responses
Episodic
Previous Issue - 45 days ago
Duplicate charge complaint, resolved with refund
Emotional
Sentiment Pattern
Frustrated initially, appreciates proactive solutions
Procedural
Preferred Resolution
Values immediate action + follow-up confirmation
Semantic
Account Status
Premium subscriber, 18 months tenure
Reflective
Success Pattern
Account credit + proactive follow-up increases satisfaction

Why ULPI Wins: Emotional Memory Learning

Emotional memory tracks customer sentiment patterns and communication preferences. The agent adapts tone, response length, and solution approach based on what made this specific customer satisfied before. Competitors use the same cheerful template for everyone—ULPI personalizes every interaction based on learned emotional context.

Full Customer History Retention

Never ask customers to repeat themselves—agent remembers every interaction

Customer Interaction History

1

Initial Setup Help

60 days ago

Customer needed help configuring API integration. Prefers technical explanations over simplified guides.

RESOLVED - Technical approach preferred
2

Billing Complaint

45 days ago

Duplicate charge issue. Customer frustrated, wanted immediate resolution. Applied refund + account credit.

RESOLVED - Frustrated initially, satisfied with credit
3

Feature Request

20 days ago

Asked about webhook support for real-time updates. Forwarded to product team with high priority tag.

TRACKED - Product team notified
NOW

Another Billing Issue

Current

Same duplicate charge problem as 45 days ago

Agent's Context-Aware Response:

"I see this is the second time you've had a duplicate charge. I'm processing an immediate refund and adding $30 account credit (up from $20 last time). I've also flagged your account to prevent future billing errors. Following up in 24 hours as you prefer."

Why ULPI Wins: Full Context Retention

Episodic memory preserves the complete customer journey—every interaction, resolution attempt, preference learned. The agent instantly recalls the previous duplicate charge issue 45 days ago and proactively increases compensation. Competitors treat each interaction as isolated—customers waste time re-explaining their history every single time.

Reflective Pattern Learning

Meta-learning identifies what resolution strategies work best and common pain points

Learned Support Patterns

TIMING INSIGHT

Billing complaints spike on 1st-3rd of month (renewal period)

Suggest: Proactive billing confirmation emails
SUCCESS PATTERN

Account credit + follow-up = 87% satisfaction rate

vs 62% with refund only
PAIN POINT

Customers frustrated when explaining issues multiple times

Solution: Context retention prevents repetition

Resolution Strategy Effectiveness

Immediate action + account credit + follow-up87%
Refund only (no follow-up)62%
Generic apology (no action)24%

🎯 Recommended Action

Based on pattern analysis

• Send proactive billing confirmation emails before renewal dates

• Increase support staff availability on 1st-3rd of month

• Default to account credit + follow-up for billing issues

📊 Impact Prediction

Expected outcome from recommendations

• 40% reduction in billing-related tickets

• Customer satisfaction increase from 62% → 87%

• Average resolution time: 8 min → 3 min

Why ULPI Wins: Reflective Meta-Learning

Reflective memory analyzes thousands of support interactions to identify what actually works. It learns that billing complaints spike during renewal periods, account credit performs better than refund-only, and proactive follow-ups boost satisfaction by 25%. The system provides actionable recommendations to improve support operations. Competitors store interactions but don't learn patterns—they can't tell you what resolution strategies work best.

Instant Similar Case Retrieval

Multi-factor scoring surfaces relevant past solutions—even with different phrasing

New Customer Issue

"My payment went through twice on my credit card statement. How do I get my money back?"

Different phrasing from previous tickets, but semantically similar

Retrieval Factors

Semantic Similarity
94%
Resolution Success Rate
87%
Recency
76%
Customer Match
82%

Top 3 Similar Cases Retrieved

COMPOSITE SCORE: 89%45 days ago

"I was charged twice for my subscription renewal"

Resolution: Full refund + $20 account credit + 24hr follow-up

✓ Customer satisfied
Same customer
COMPOSITE SCORE: 84%12 days ago

"Double charge on my account for subscription"

Resolution: Immediate refund + account credit + follow-up

✓ Resolved quickly
Similar sentiment
COMPOSITE SCORE: 79%28 days ago

"Billing error - duplicate payment processed"

Resolution: Refund processed, account credit applied

✓ Positive outcome

Agent's Informed Response

"I can see this is your second duplicate charge issue. Based on past cases, I'm processing an immediate refund and applying $30 account credit (increased from last time). I've also flagged your account to prevent future billing errors, and I'll personally follow up in 24 hours to confirm everything is resolved. Most customers with this issue are fully satisfied with this resolution approach."

Response informed by 3 similar cases with 87% avg satisfaction rate

Why ULPI Wins: Multi-Factor Semantic Retrieval

Multi-factor composite scoring finds similar cases even with completely different phrasing. 'Payment went through twice' semantically matches 'duplicate charge' and 'double billing'. Weighs resolution success rate, customer similarity, and recency. The agent instantly accesses proven solutions from past cases. Competitors use keyword matching—miss similar cases if phrasing differs, forcing agents to start from scratch every time.