AI use cases for Sales
24 documented implementations
Apollo boosts sales meeting bookings 35% with Claude-powered outbound messaging
Apollo, a sales engagement platform used by thousands of sales teams, uses Claude 3.5 Haiku to generate personalized outbound emails by combining its prospect database with external signals like news and hiring patterns, and by matching each salesperson's writing style. After a blind test showed Claude messages preferred 76% of the time, Apollo saw a 35% boost in meeting bookings, a 15% increase in customer retention, and now runs more than 5 million Claude-powered messaging actions per month.
Chronograph reaches 100% employee adoption of Claude Enterprise across its private equity platform
Chronograph, a portfolio monitoring and analytics platform serving institutional private equity investors, rolled out Claude Enterprise to its 150-plus employees, reaching 100% adoption with 80% daily active usage. New hires now contribute by their second week versus more than two months previously, and the company built a Chronograph MCP server so private equity clients can connect portfolio data directly to Claude for fund performance and exposure analysis.
Pandora Builds AI Shopping Agent Gemma and Service Agent Clara with Agentforce
Jewelry brand Pandora built two Agentforce AI agents: Gemma, a personal shopper that reasons across Commerce Cloud order history, Bloomreach recommendation data and Databricks insights via Data 360 to make tailored jewelry recommendations in a warm, in-store-like tone, and Clara, a customer service agent built with Salesforce Professional Services and Publicis Sapient that answers "Where is my order?" requests and FAQs, deflecting 60% of cases.
Euronics Italia's AI Agent Ronics Lifts Conversion Rate 53% with Agentforce
Euronics Italia, part of the largest group of European consumer electronics retailers, built Ronics, an Agentforce AI agent that connects to its 26,000-SKU catalogue in Data 360 to answer appliance questions in natural, conversational Italian, suggest and compare products, and recommend replacements, bringing its in-store expertise to online shopping and lifting conversion rate by 53%.
TVS Motor Company centralizes sales and service data on Databricks to drive AI-driven automotive experiences
TVS Motor Company used the Databricks Data + AI Platform on Azure, with Delta Lake and MLflow, to centralize siloed sales and after-sales data from 150 different tables into a single source of truth, building ML models for sales-lead classification and predicting service center visits, achieving 2x faster sales-lead follow-up and a 30% increase in customer appointments for bike service.
AGCO scales employee-built AI agents with Microsoft Copilot Studio
Agricultural machinery maker AGCO Corporation used Microsoft Copilot Studio and Microsoft 365 Copilot to let employees become citizen developers building their own AI agents under central governance. After a leadership meeting where about 900 of 2,200 attendees volunteered to become agent 'makers,' the maker community grew to roughly 2,000 employees, producing hundreds of citizen-built and enterprise agents in production, and AGCO cut some quality reviews in its manufacturing workflows from weeks to about an hour.
Siemens cuts lead response time from days to minutes with two Agentforce AI agents
Siemens deployed an engagement agent and a qualification agent on Salesforce Agentforce to handle its thousands of monthly inbound sales leads. The engagement agent sends personalized outreach and follow-up, while the qualification agent gathers budget, authority, need and timeline details through a chat and applies about 50 predefined rules built with Agent Script before routing qualified leads to sellers. The system gives 100% response coverage to roughly 2,500 in-scope leads a month across 132 countries, cutting response time from days to minutes with an 11% engagement rate and 6% qualification rate.
Flipp democratizes shopping data with a Databricks lakehouse for personalized offers
Flipp built a lakehouse architecture on Databricks and Delta Lake to unify siloed retail partner content and user-generated behavioral data, using MLflow for experiment tracking and Tableau for reporting, powering recommendation models for real-time personalized offers and contributing to a 10% increase in in-store traffic with retailers.
AIA Hong Kong and Macau builds a centralized lakehouse for personalized insurance recommendations
AIA Hong Kong and Macau migrated from a rigid on-premises Oracle data warehouse to Azure Databricks to build a centralized lakehouse, using MLflow to manage the machine learning lifecycle and support personalized recommendation models. The initiative supported more than 11 ML projects and contributed to double-digit growth in customer lead generation and 2x+ growth in customer engagement and financial advisors' lead generation.
Gazelle: Smart validation and 99.9%-accurate property descriptions with Gemini
Gazelle, a Swedish startup automating property documentation for real estate agents in Sweden and Norway, uses Google's Gemini 1.5 Pro to extract key information from lengthy property documents like building-inspection and electricity reports and generate sales content. Gemini increased output accuracy from less than 95% to 99.9%, reduced content generation time from four hours to 10 seconds, and helped Gazelle launch four new products in under a year, saving brokers 4 to 6 hours of manual work per property.
SEGA Europe builds a player sentiment analysis GenAI model and Genie One self-serve analytics on Databricks
SEGA Europe consolidated data from over 40 million players generating 50,000+ events per second into Delta Lake with Lakehouse Federation and Unity Catalog, then built a generative AI player sentiment analysis model that analyzes 10,000+ user reviews daily to identify gameplay issues, and deployed Genie One for natural-language self-serve analytics, achieving a 10x faster time to insight.
Matching home buyers with their dream house
Compass, a real estate technology company, uses the Databricks Data + AI Platform to deliver predictive intelligence that identifies homeowners likely to sell, helping agents optimize marketing budgets and outreach strategies, replacing siloed ad hoc data lakes with a unified platform.
Vxceed builds a near real-time multi-agent AI platform using Amazon Bedrock
Vxceed, a global SaaS provider of AI-powered sales and distribution solutions for consumer packaged goods (CPG) companies, built a multi-agent AI platform on Amazon Bedrock to interpret store-level signals in near real time across traditional trade retail outlets. Specialized agents interpret field signals, summarize patterns, generate narrative explanations, and recommend next steps, and also collaboratively produce short AI-generated video news bulletins (script, audio, and visuals each by a different agent) summarizing daily risks and opportunities. Built with Amazon DynamoDB, AWS AppSync WebSockets, AWS Lambda, and AWS Step Functions, the platform processes about US$250 million in daily transactions for major customers, expanded outlet coverage from 1.6 million to over 2 million stores in 18 months, and delivered 5-10% sales uplift and 15-25% improvement in promotion ROI through earlier issue detection.
Closing deals with better customer insights
Xanadu Realty, an Indian real estate firm, partnered with Exponentia.ai to build the Xanadu Decision Engine (XDE) on the Databricks Data + AI Platform, enabling conversational analytics, lead scoring and AI-driven virtual assistance for sales teams. Using Delta Lake, a feature store and MLflow to manage the ML lifecycle, Xanadu achieved a 25% increase in lead-to-customer conversion ratio and is developing further ML models and generative AI capabilities, including LLM-powered chatbots.
Building trust in mobile communications
First Orion, which protects mobile subscribers from scam calls by analyzing over 350 million calls daily, migrated from AWS EMR to the Databricks Data + AI Platform to power anomaly detection, fraud prevention and branded-calling products, boosting productivity by more than 35% and generating over $12.7 million in value over three years. The company is also using open LLMs such as MosaicML MPT and Dolly on the lakehouse to build conversational AI for document search and scam interception, with preliminary results showing a 5x increase in search efficiency.
Global fashion leader increases revenue with better data
Burberry combined the Databricks Data + AI Platform with Snowplow's Behavioral Data Platform to build a real-time AI-Ready Customer 360 from website clickstream data, replacing daily data batches. The platform runs 40 personalized machine learning models covering product recommendations, propensity scoring and customer lifetime value, cutting clickstream data latency by 99% and extending cookie duration 52x, letting in-store client advisors see customers' recent online behavior on mobile devices to deliver personalized service.
Cyera scales agentic AI across 1,500 employees with Claude Enterprise
Cyera, an AI data security platform, rolled out Claude Cowork company-wide to all 1,500 employees in 17 days, connecting it to 40 tools including Slack, Salesforce, Asana, Google Drive and Notion, plus a governed Snowflake semantic layer of 40 documented tables built by its data engineering team. Weekly active usage of Claude reached 88% across the company. A scheduled task now triages Cyera's internal Ask Claude Slack channel, cutting daily triage from five-to-six hours to about 30 minutes, and the legal team launched a Cowork plugin with 20 playbooks that pre-reviews inbound vendor NDAs against Cyera's negotiating positions.
NTT DATA Transforms Its Enterprise with Agentic AI in Microsoft Fabric, Azure AI Foundry
NTT DATA adopted Microsoft Fabric data agents integrated with Azure AI Agent Service to build conversational, autonomous AI agents that let employees query enterprise data in natural language and get role-specific insights and recommended actions. Early deployments included a suite of HR-focused agents analyzing staffing, chargeability and productivity data, and agents monitoring back-office KPIs. The AI-driven platform delivered at least 50% faster time to market for new data solutions and improved productivity across HR, sales and operations functions.
Grainger builds a GenAI RAG-powered product search to help call center agents navigate 2.5 million products
Grainger implemented a retrieval augmented generation (RAG) search system on the Databricks Data + AI Platform, using Databricks AI Search and Model Serving to let customer service and sales teams retrieve accurate product information from a 2.5 million-item catalog with over 400,000 daily product changes, improving search recall and reducing errors for call center agents.
Improving the speed and competitiveness of pricing to win more
Steelcase built an AI-powered pricing engine on the Databricks Data + AI Platform, using a feature store of 70+ predictive features and random forest models served in real time to automate discount recommendations across 70,000+ annual pricing scenarios, boosting auto-approvals from 35% to nearly 50% and freeing over 1,500 sales hours annually.
Accelerating sales pipelines with real-time go to market
ServiceNow built Lead Scoring, Outreach Assist and Demo Assist AI solutions on the Databricks Data + AI Platform to support 2,000+ global sellers, using MLflow and LLM chains orchestrated with Lakeflow Jobs, cutting lead scoring latency from 4 hours to 30 minutes, generating 65,000+ personalized outreach emails in 2024, and boosting deal velocity 1.5x.
Sandvik Revolutionizes Manufacturing with Microsoft AI Solutions
Sandvik, a Swedish manufacturing technology company, built the Manufacturing Copilot using Azure OpenAI Service and Azure AI Search to give employees and customers natural-language access to decades of product documentation, help files, and audio/video recordings across its CAD/CAM software brands (including Cimatron, GibbsCAM, and SigmaNEST). Rather than building separate solutions per product, Sandvik created a shared service with product-specific Copilots, each trained on brand-specific proprietary knowledge and supporting 19 languages with domain-specific translation algorithms. The tool is used internally in sales, customer support, and training, and was first launched across three CAD/CAM brands with a rollout planned to reach 400,000 users. Sandvik reports an average productivity gain of 20-30% (up to 50% for entirely new problems) and roughly 50% less time to onboard new salespeople.
Delivering One Highstreet Experience Through Connected Data and Intelligence
Highstreet Insurance Partners, an insurance brokerage that has grown through partnerships with more than 200 independent agencies, built Ora, a proprietary unified digital intelligence platform on Databricks that combines trusted data, analytics, intelligent automation and AI. Ora manages more than 49 billion data points spanning client, policy and carrier history for roughly 500,000 active client relationships. Highstreet built a knowledge graph connecting clients, policies, coverages, documents, and communications to ground AI agent recommendations, uses Unity Catalog for governance across data and ML assets, and Databricks Model Serving to run machine learning models that surface renewal-likelihood scores and cross-sell opportunities. Highstreet reduced the time to onboard a new agency partner's data into Ora from as much as six months to less than two weeks, and increased daily data refresh success from 35% to more than 95% after re-engineering Ora's data foundation with Lakeflow pipelines and Delta Lake.
Transforming the CX experience: How Cisco plans to cut renewal proposal time by 20%
Cisco's Customer Experience organization partnered with Mistral to build the AI Renewals Agent, the first solution from a strategic partnership between the two companies. Account managers previously had to manually analyze more than 50 signals across structured and unstructured customer data to draft renewal proposals. The agent uses text-to-SQL across multiple platforms, keeping customer data on premise and scaling across Cisco's own GPU cluster, with Mistral's Applied AI team collaborating on fine-tuning. Cisco estimates the agent can cut time spent creating renewal proposals and preparing for customer engagements by up to 20%.

