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Hybrid AI

Stop generic customer conversations. Start engaging each customer personally, 24/7.

AI agent that knows every customer's history, preferences, and purchase intent. Delivers perfectly personalized conversations across chat, email, SMS that actually convert.

<100ms
2025/solutions/pleasepoint-ea.hero.metrics.latency
4x
2025/solutions/pleasepoint-ea.hero.metrics.conversion
7 days
To Production
AWS Validated
Production-tested by 80+ companies

Stop losing customers to impersonal, limited-hour support

Customers expect instant, personalized responses 24/7. Your team can't scale, generic chatbots frustrate, and opportunities disappear overnight.

Support only available during business hours

Customers need help at 11pm, weekends, holidays. They go to competitors who offer 24/7 assistance.

Lost: 60% of after-hours conversion opportunities

Generic chatbots frustrate customers

Basic bots give canned responses without understanding context, history, or customer needs. Customers abandon frustrated.

Lost: 45% of chat interactions due to poor experience

Human agents lack customer context

Support teams don't have purchase history, preferences, or predictive insights. Every conversation starts from zero.

Lost: 70% of personalization opportunities

Mass emails get ignored

Generic email blasts don't resonate. Customers delete without reading because content isn't relevant to them.

Lost: 85% of email marketing potential
Every day without personalized engagement, customers choose competitors who understand them better

Pleasepoint EA: AI that engages like your best customer success manager

AI agent with complete customer intelligence that delivers personalized conversations across all channels. Never generic, always relevant, available 24/7.

Customer Intelligence Engine

Knows every customer's purchase history, preferences, behavior patterns, and predictive scores before starting conversations.

360° customer context

Conversational AI Engine

Generates contextual, personalized responses across chat, email, SMS. Maintains your brand voice and adapts to customer personality.

<3s response time

Intent-Driven Engagement

Proactively engages customers at optimal moments based on behavior triggers and purchase intent predictions.

95% intent prediction accuracy

Omnichannel Orchestration

Seamlessly manages conversations across chat, email, SMS, WhatsApp. Picks optimal channel for each customer automatically.

5+ channels unified

From generic support to personalized engagement powerhouse in 14 days

No customer service disruption, no complex training. EA integrates with existing systems and transforms every interaction.

1

Connect Customer Data and Train AI

Platform syncs with CRM, support systems, and communication channels. AI learns customer patterns and successful engagement strategies.

Integrate with CRM and support platforms
Connect chat, email, SMS systems
Import customer history and preferences
Learn brand voice and communication style
2

Deploy Customer Intelligence Layer

EA begins analyzing customer behavior and creating personalized engagement strategies for each individual.

Build comprehensive customer profiles
Generate personalization strategies
Configure engagement triggers and timing
Set up intent prediction models
3

Activate Conversational AI

Live personalized conversations begin across all channels. EA handles inquiries with full customer context.

Deploy conversational AI across channels
Activate personalized response generation
Enable proactive engagement triggers
Implement escalation protocols
4

Launch Omnichannel Engagement

Complete engagement automation activates. Proactive outreach, optimal channel selection, and conversion optimization.

Activate proactive engagement campaigns
Deploy optimal channel selection
Enable conversion optimization
Monitor and optimize performance metrics

Complete customer engagement: From first touch to loyal advocate

Every interaction personalized, every moment optimized, every channel coordinated for maximum customer satisfaction and conversion.

Context-Aware Responses

Every response considers customer history, current situation, preferences, and predicted needs for relevant assistance.

Full context Personalized responses Predictive assistance

Proactive Problem Solving

Anticipates customer needs and offers solutions before problems escalate or questions are asked.

Anticipatory service Problem prevention Proactive assistance

Continuous Learning

Learns from every interaction to improve responses, understand preferences, and optimize engagement strategies.

Machine learning Preference learning Strategy optimization

Emotional Intelligence

Recognizes customer sentiment and adapts communication style to match mood and urgency level.

Sentiment analysis Style adaptation Emotional awareness

Smart Channel Selection

Automatically chooses optimal communication channel based on customer preferences, urgency, and message type.

Channel optimization Preference matching Context-aware delivery

Seamless Channel Transitions

Maintains conversation context when customers switch between chat, email, SMS, or phone without losing thread.

Context preservation Seamless transitions Unified experience

Optimal Timing Engine

Predicts best times to reach each customer on each channel for maximum engagement and response rates.

Timing optimization Engagement prediction Response maximization

Channel Performance Analytics

Tracks engagement and conversion rates across channels to optimize communication strategies continuously.

Performance tracking Conversion optimization Strategy refinement

Individual Customer Profiles

Creates detailed profiles combining behavioral data, preferences, purchase history, and interaction patterns.

Profile building Behavioral analysis Preference tracking

Intent-Based Messaging

Tailors messages based on predicted customer intent, current needs, and likelihood to convert or churn.

Intent prediction Need anticipation Conversion optimization

Dynamic Content Generation

Creates personalized content, offers, and recommendations in real-time based on customer context.

Real-time personalization Dynamic offers Contextual recommendations

Journey Stage Optimization

Adapts engagement strategy based on where customer is in their journey from awareness to advocacy.

Journey mapping Stage optimization Strategy adaptation

Purchase Intent Detection

Identifies when customers are ready to buy and triggers appropriate conversion-focused interactions.

Intent detection Purchase readiness Conversion triggers

Dynamic Offer Optimization

Generates personalized offers, discounts, and incentives based on customer value and price sensitivity.

Offer personalization Price optimization Incentive targeting

Churn Prevention Alerts

Proactively engages at-risk customers with retention-focused communications and special offers.

Churn prediction Retention focus Proactive intervention

Upsell Opportunity Identification

Recognizes expansion opportunities and suggests relevant additional products or service upgrades.

Upsell detection Expansion opportunities Revenue optimization

Every customer touchpoint, perfectly personalized

From first inquiry to loyal advocacy, EA transforms how customers experience your brand across every interaction.

eCommerce & Retail

Challenge: Customers abandon carts without explanation or recovery opportunity
AI Solution: EA detects abandonment patterns and triggers personalized recovery messages with relevant incentives
Result: +67% cart recovery rate, +45% abandoned cart revenue recovered
Challenge: Generic product recommendations don't resonate with individual preferences
AI Solution: AI generates personalized product suggestions based on browsing history, purchases, and similar customer patterns
Result: +156% recommendation click-through, +89% cross-sell conversion
Challenge: Customer support inquiries peak during off-hours when staff unavailable
AI Solution: EA provides 24/7 personalized support with access to complete customer history and purchase context
Result: 24/7 coverage, +234% after-hours engagement, +78% issue resolution

SaaS & Technology

Challenge: Free trial users need guidance to understand product value and convert
AI Solution: EA tracks usage patterns and delivers personalized onboarding, tips, and upgrade messaging at optimal moments
Result: +189% trial engagement, +123% trial-to-paid conversion
Challenge: Customer success teams can't proactively monitor and engage all accounts
AI Solution: AI identifies usage patterns indicating risk or opportunity and triggers appropriate engagement automatically
Result: +89% proactive engagement, +67% account expansion, -45% churn rate
Challenge: Technical support requires deep product knowledge and customer context
AI Solution: EA accesses complete customer tech stack and usage history to provide contextual technical assistance
Result: +78% first-contact resolution, +156% customer satisfaction scores

Service & Hospitality

Challenge: Customers expect instant responses to booking inquiries and service questions
AI Solution: EA provides immediate, personalized responses with availability, pricing, and service recommendations
Result: <30s response time, +134% booking inquiry conversion
Challenge: Repeat customers don't receive recognition or personalized service at scale
AI Solution: AI recognizes returning customers and personalizes interactions based on history, preferences, and VIP status
Result: +245% customer loyalty, +89% repeat booking rate
Challenge: Upsell opportunities missed due to lack of customer preference insights
AI Solution: EA analyzes past bookings and preferences to suggest relevant upgrades and additional services
Result: +167% upsell success rate, +78% average booking value

From "it's technically impossible" to "live in production" in one sprint

While others debate frameworks, these teams already have AI in production generating ROI. Leaders who stopped building infrastructure and started delivering business value. The fastest AI deployments in the industry. Verified by AWS.

"Pleasepoint es una de las mejores tecnologías para personalizar y analizar información. Su flexibilidad es incomparable. Recomendación infalible para e-commerce que necesite personalización e IA eficiente."
Daniel González Moreno

Head of Data & Analytics at Globant

"Pasamos del modelo tradicional de campañas a un modelo dinámico y enriquecido. Personalizamos las campañas de CRM y mejoramos la conversión de nuestros clientes del canal de comercio electrónico."
Josep Jarque

IT Architect at Condisline

"La personalización one-to-one permite generar contenido interesante, fomentar fidelización, mejorar la experiencia de compra y generar ventas adicionales a través de recomendaciones personalizadas."
Jose Antonio Linde

COO at Condisline

"Con marketing predictivo obtuvimos resultados satisfactorios. Con personalización one-to-one diseñamos ofertas individuales. Conseguimos mayor retención y fidelidad consistentemente."
Alberto Elizondo

Digital Transformation at Real Sociedad

"Descubrimos nuevos comportamientos de compra, perfeccionamos campañas basadas en customer journeys y anticipamos necesidades. Ganamos personalización y mejoramos rendimiento."
Belén Pérez Benavente

Customer Knowledge Manager at Norauto

"Dimos un salto en análisis y segmentación de clientes. Diseñamos campañas de CRM más precisas basadas en comportamiento de compra, optimizando resultados y aportando valor real."
Manuel Caamaño De Melo

Data Scientist at Norauto

"Nuestra biblioteca digital es más intuitiva y eficiente. Los usuarios acceden a contenido jurídico con rapidez inigualable. Transformamos cómo interactúan con recursos legales de forma natural."
Òscar Gallud

CEO at Atelier Libros

Stop losing customers to impersonal interactions. Start engaging personally, 24/7.

While your competitors offer generic support during business hours, EA delivers personalized engagement around the clock. Deploy EA and transform every customer touchpoint.

24/7 personalized customer engagement
5+ channels unified seamlessly
+156% average engagement improvement

Connects with everything you already use

Your tech stack stays intact. We just make it intelligent. Connect anything—from that Excel file accounting still loves to your latest microservices. Integration in hours, not sprints.

Native Real-time

eCommerce platforms

Native connectors for PrestaShop and Shopify. JavaScript SDK for custom storefronts. REST API for Magento, WooCommerce, VTEX. Real-time inventory sync.

Native AI-Powered

CRM and automation systems

Native integration with Salesforce, Klaviyo, HubSpot. AI-powered segmentation and personalization. Automate campaigns using unified customer data. Transparent, no-code activation.

Enterprise Omnichannel

ERP solutions

Unify physical stores with online channels. Loyalty programs, POS systems, inventory management. SAP, Oracle, Microsoft Dynamics ready. Omnichannel truth.

Cloud Streaming

Data infrastructure

Connect your existing data lake: Snowflake, BigQuery, Redshift, Databricks. Add AI layer without migration. Keep your architecture, gain intelligence.

Multi-channel Automated

Marketing tools

Activate AI predictions in Mailchimp, Brevo, ActiveCampaign. Push segments to Google Ads, Meta. Your channels stay, intelligence multiplies everywhere.

Universal Legacy Support

Any format

That Excel from accounting? Those CSVs from 2015? JSON exports? We ingest everything. Automated validation, no manual transformation needed.

sFTP
CSV
XLS
JSON
XML
REST GraphQL Webhooks

RESTful API

Full REST API with GraphQL support. Webhooks for real-time events. Rate limits that scale with your needs. Enterprise-grade security.

API Example
// API Example
URL: https://api.pleasepoint.com/api/onetoone/recommendation/getRecommendation
PARAMETERS:
{
    "account_id":"XXXXXXXXXX",
    "ssid":"XXXXXXXXXXXXXXXXXXXXXXXXXXXXXX",
    "deploy_slug": "itemitem-v4_deploy",
    "model_type": "item-item",
    "product_reference_id": "0904219.66",
    "user_reference_id": "4000140388",
    "num_items": 3 ,
    "rule_slug": "pdp-item-recommendations"
}

RESPONSE:
{
    "status": "ok",
    "data": [
        {
            "reference_id": 1357816.84,
            "name": "Los Compas perdidos en el espacio",
            "price": "€ 19.90",
            "url": "https://www.url.com/9788427048348/1357816.84.html",
            "image_url": "https://www.url.com/dw/image/2b7c8379/images/large/1357816.84.jpg",
            "recommendationId": "RID-f5-45d4-99e8-3c7b1ad35de4-CID-49a0f9"
        },
        {
            "reference_id": 1299455.03,
            "name": "El corazón del pirata",
            "price": "€ 18.90",
            "url": "https://www.url.com/9788414023488/1299455.03.html",
            "image_url": "https://www.url.com/dw/image/35cfc573/images/large/1299455.03.jpg",
            "recommendationId": "RID-f5-45d4-99e8-3c7b1ad35de4-CID-49a0f9"
        },
        {
            "reference_id": 1336752.48,
            "name": "Las Ratitas 2. Súper Alma en acción",
            "price": "€ 14.95",
            "url": "https://www.url.com/9788408227977/1336752.48.html",
            "image_url": "https://www.url.com/dw/image/1a6d0de/images/large/1336752.48.jpg",
            "recommendationId": "RID-f5-45d4-99e8-3c7b1ad35de4-CID-49a0f9"
        }
    ]
}
JavaScript Python PHP

Native SDKs

Drop-in SDKs for all major languages. One-line integration for JavaScript. Server-side libraries for Python, PHP, Java, Ruby, Go.

SDK Example
// Python SDK - Usage examples with AIstudio:
from pleasepoint_py import AIStudio
studio = AIStudio()
studio.platform.API_NAME.API_NAMESPACE.METHOD(**arguments)

studio.platform.genai.salesAgent.invokeSalesAgent(session_id=ID, user_reference_id=ID, user_prompt=prompt_msg)

Questions every team asks before implementation

Real answers from hundreds of deployments. Clear answers about architecture, implementation, and capabilities. For technical teams and business leaders.

7 days to first production use case. Day 1-2: Connect your data sources (API/sFTP). Day 3-4: Platform auto-builds ETL pipelines adapted to your data model. Day 5-6: Configure and train AI models with one-click. Day 7: Deploy via API/SDK or native connectors. No hidden complexity.

Perfect. Connect it directly via SQL/NoSQL connectors. Pleasepoint acts as your AI layer on top, not a replacement. Keep Snowflake, BigQuery, or whatever you use. We read from it, enrich it with AI predictions, and write back. Your data stays where it is.

Yes. AI Studio provides full Jupyter environment with Python ML libraries and Pleasepoint SDK. Direct access to all platform data. Connect any LLM (GPT-4, Claude, Llama). Deploy custom notebooks on schedule. Your team owns the innovation.

Your data never leaves your infrastructure if self-hosted. Cloud version runs on AWS with SOC2, GDPR compliance. Data encrypted at rest and transit. Role-based access control. Full audit logs. You maintain complete ownership and control.

Auto-scaling on AWS. Handles 10K+ predictions/second. Parallel processing for batch jobs. Real-time APIs with <100ms latency. From startup to enterprise load without architecture changes. Pay only for what you use.

Every model is configurable. Adjust parameters, retrain with your data, combine multiple models. Visual configuration for business users, code access for data scientists. Pre-built doesn't mean locked-in.

Start with a single use case. 7-day implementation, monthly billing. Most clients expand to multiple use cases within 60 days after seeing the ROI. No need for annual contracts upfront. Pay as you grow. Cancel anytime with 30 days notice.

Those are ML platforms. Pleasepoint is a business capability platform. We already built the ETL pipelines, feature engineering, model training, deployment orchestration. You configure use cases, not infrastructure. Months of development already done.

Our platform analyzes your data schema and automatically creates optimized pipelines. It detects data types, relationships, and patterns to build feature engineering specifically for ML models. Updates to your schema trigger automatic pipeline adjustments.

Yes. AI Studio provides full Jupyter environment with direct data access. Train any model using TensorFlow, PyTorch, or scikit-learn. Deploy custom models alongside our pre-built ones. Full Python ecosystem available.

Self-hosted option keeps all data on-premise. Cloud version offers region selection (US, EU, APAC). GDPR and SOC2 compliant. Encryption at rest and in transit. Full audit logs available.

Automatic monitoring of prediction accuracy. Alert system for performance degradation. One-click retraining with fresh data. A/B testing for model updates. Full versioning and rollback capabilities.

Cloud: None, we handle everything. Self-hosted: Kubernetes cluster (min 3 nodes), 32GB RAM per node, 500GB SSD storage. Scales horizontally based on load.

Cloud: Based on predictions/month and data volume. Self-hosted: Annual license by company size. No per-user fees. No hidden costs for additional models or connectors.

Multi-AZ deployment by default. Automatic failover in <30 seconds. Data replication across regions. Backup every 6 hours. Point-in-time recovery available.

Default: 10,000 requests/second. Burstable to 50,000/second. No hard limits on batch processing. Custom limits available for enterprise.

Built on AWS. Validated by AWS.

ISV-Accelerate Partner with AI/ML and Retail competencies. The infrastructure you trust, the innovation you need.

AI/ML Competency
Validated expertise in machine learning and generative AI solutions
Retail Competency
Proven results in eCommerce and retail digital transformation
ISV-Accelerate
Technical validation passed. Co-selling enabled. Your success guaranteed.

Your competitors are already 6 months ahead, catch up in 48 hours

While they built custom solutions for months, you can have AI in production this week. No more falling behind. Choose your path: explore the tech or jump straight to a PoC with your real data.

Technical architecture walkthrough
Engineering team support included