AI that knows which deals will close, which reps will hit quota, and what revenue to expect. Transform sales planning from guesswork to precision.
Quarterly surprises destroy planning, investor confidence, and team morale. Spreadsheet guesswork isn't forecasting.
Quarterly forecasts vary wildly from actual results. Planning becomes impossible when predictions are unreliable.
Don't know which deals are real until they close or disappear. Surprises happen weekly in pipeline reviews.
Can't predict which salespeople will hit quota until quarter-end. Resource allocation becomes reactive, not strategic.
Without reliable demand forecasts, inventory and staffing decisions are guesswork. Overstock or shortage costs multiply.
Machine learning analyzes historical patterns, current pipeline, and market signals to predict outcomes with scientific precision.
No complex modeling, no data science teams. SF learns your sales patterns and starts predicting immediately.
Platform syncs with CRM, sales systems, and historical data. Imports deal history, rep performance, and market conditions.
Machine learning analyzes deal progression patterns, seasonal trends, and success factors to understand your sales dynamics.
SF creates custom forecasting models for your business and validates accuracy against historical performance.
Activate real-time forecasting for current pipeline and future periods. Begin continuous model improvement.
Every aspect of sales performance predicted with scientific accuracy. Deals, reps, territories, products, and markets.
Predict revenue for next week, quarter, or year with confidence intervals and scenario planning.
Assign precise close probability to every deal based on characteristics, stage, and historical patterns.
Predict not just if deals will close, but when they'll close with week-level accuracy.
Automatically weight pipeline value based on deal quality, stage progression, and historical conversion rates.
Real-time assessment of overall pipeline health with early warning alerts for potential shortfalls.
Track how deals move through stages and identify bottlenecks or acceleration opportunities.
Identify deals at risk of stalling or loss before sales reps recognize the warning signs.
Spot deals that can be accelerated with the right actions and resource allocation.
Predict which reps will hit, miss, or exceed quota with confidence levels and recommended actions.
Identify reps who need coaching intervention based on performance patterns and trajectory analysis.
Analyze territory performance and recommend rebalancing for optimal revenue generation.
Track individual and team performance trends to predict future outcomes and identify interventions.
Forecast demand for individual products and product lines to optimize inventory and production planning.
Identify and predict seasonal sales patterns, holiday impacts, and cyclical business fluctuations.
Assess how external market factors, economic conditions, and industry trends affect sales performance.
Predict resource needs for customer success, support, and delivery based on forecasted sales.
From startup growth planning to enterprise quarterly reporting, SF transforms how organizations predict and plan revenue.
While competitors guess their way through quarterly planning, SF delivers 95% accurate predictions that transform decision-making. Deploy SF and never miss a forecast again.
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 connectors for PrestaShop and Shopify. JavaScript SDK for custom storefronts. REST API for Magento, WooCommerce, VTEX. Real-time inventory sync.
Native integration with Salesforce, Klaviyo, HubSpot. AI-powered segmentation and personalization. Automate campaigns using unified customer data. Transparent, no-code activation.
Unify physical stores with online channels. Loyalty programs, POS systems, inventory management. SAP, Oracle, Microsoft Dynamics ready. Omnichannel truth.
Connect your existing data lake: Snowflake, BigQuery, Redshift, Databricks. Add AI layer without migration. Keep your architecture, gain intelligence.
Activate AI predictions in Mailchimp, Brevo, ActiveCampaign. Push segments to Google Ads, Meta. Your channels stay, intelligence multiplies everywhere.
That Excel from accounting? Those CSVs from 2015? JSON exports? We ingest everything. Automated validation, no manual transformation needed.
Full REST API with GraphQL support. Webhooks for real-time events. Rate limits that scale with your needs. Enterprise-grade security.
// 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"
}
]
}Drop-in SDKs for all major languages. One-line integration for JavaScript. Server-side libraries for Python, PHP, Java, Ruby, Go.
// 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)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.
ISV-Accelerate Partner with AI/ML and Retail competencies. The infrastructure you trust, the innovation you need.
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.