10 real-life Business Process Automation examples for Sales
10 real-life Business Process Automation examples for Sales
Automation in sales can be powerful but needs to ensure that timing, context, and relationship-building are not sacrificed in the drive for process efficiency.
The strongest sales automations improve lead qualification, CRM hygiene, follow-up sequencing, proposal generation, and account research so reps can spend more time selling, but they have to avoid turning the function into generic outreach that damages trust or misses deal nuance.
Industry
Sector
Intrepid's Travel Planner Chatbot
Intrepid Travel has integrated a Generative AI chatbot to act as a digital travel consultant, streamlining the trip planning process for small group adventures. By engaging customers in natural, conversational dialogue, the LLM-based assistant matches individual preferences—such as budget, travel style, and interests—with Intrepid’s extensive tour catalog to provide instant, personalised recommendations.
Use Case
Automated Trip Recommendations and Itinerary Planning
Tools
GenAI Chatbot
Input
Customer preferences including destinations, travel style, budget, interests, and travel dates
Process
The AI chatbot conducts a conversational needs-analysis, filters the Intrepid tour database for the best matches, and provides tailored itinerary suggestions while answering specific tour-related FAQs
Output
Personalised tour recommendations and real-time trip planning guidance
Outcome
Improved lead qualification, reduced time-to-booking, and enhanced customer engagement
Travel Agencies and Online Travel
Sales
Bayer Crop Science's GenAI Sales Tool
Bayer Crop Science has developed "E.L.Y." (Expert Learning for You), a specialised generative AI system designed to provide agronomists and sales representatives with instant, expert-level answers to complex agricultural queries. By grounding the AI in decades of proprietary research, Bayer has created a high-precision tool that outperforms general-purpose models in technical accuracy.
Use Case
Enhancing Agricultural Decision-Making
Tools
Azure & Internal Tools
Input
Decades of aggregated agronomy content, proprietary product research data, crop protection labels, and seed characteristic registries.
Process
The system employs Retrieval-Augmented Generation (RAG) to dynamically pull relevant information from Bayer’s private data libraries in response to natural language prompts. To ensure maximum precision and regulatory compliance, the team utilised intensive prompt engineering and fine-tuned a "small language model" (SLM) architecture, which is more efficient and targeted than broad-based LLMs.
Output
Highly accurate, context-aware answers to technical questions (e.g., seed ratings, pest management, and regional product recommendations) and automatically generated marketing or training materials.
Outcome
Achieved a 100% accuracy rate in internal testing and a 60% increase in productivity for frontline employees. The tool saves agronomists up to four hours per week, allowing them to focus on high-value farm consultations rather than manual data retrieval.
Farming and Agribusiness
Sales
Unity Automotive's Inbound Response System
Unity Automotive, a prominent UK multi-franchise dealer group, has implemented Shift AI to automate lead management and call routing, ensuring that no sales opportunity is missed regardless of the time of day. By utilizing an AI "receptionist," the group has bridged the gap between out-of-hours enquiries and live sales appointments.
Use Case
Improving Lead Management
Tools
Unity AI & Internal Tools
Input
Inbound customer enquiries from multiple sources, including web forms, telephone calls, and third-party lead aggregators.
Process
The Shift AI platform captures every enquiry and instantly determines the fastest path to engagement. During business hours, it routes calls to the appropriate sales representative with real-time tracking. Out-of-hours, the AI assistant autonomously manages the interaction, utilizing SMS, email, and automated telephony to capture customer intent and qualify leads without human intervention.
Output
Automated dispatch of multi-channel communications (SMS/Email/Call), 24/7 lead qualification, and a centralized dashboard for sales managers to track lead progress and attribution.
Outcome
Achieved a 53% conversion rate from initial enquiry to confirmed appointment, with an average response time of under 60 seconds. Notably, over 30% of all appointments are now booked from leads received outside of standard business hours, significantly maximizing the group’s marketing ROI.
BlackRock utilises the "Aladdin Wealth" platform to automate the generation of personalised investment proposals. The tool features a "Next Best Action" engine that uses data-driven recommendations to help advisors identify timely, relevant opportunities to engage with clients based on their specific portfolio needs.
Use Case
Proposal Generation & Client Engagement
Tools
Aladdin Wealth
Input
Client portfolio data, house investment views, and market risk analytics
Process
The platform automatically identifies misalignments in a client’s book (e.g. risk breaches or tax-loss harvesting opportunities) and triggers a notification for the advisor.
Output
Tailored investment proposals, automated "What-If" scenarios, and data-driven engagement alerts.
Outcome
Enhanced "wallet share" through automated asset aggregation and increased advisor efficiency in delivering personalised service at scale.
Asset and Wealth Management
Sales
VTT's Agentforce Inbound Lead Qualification
VTT Technical Research Centre of Finland deploy Salesforce Agentforce to automate the qualification and engagement of thousands of inbound leads generated through web, digital, and in-person events. The AI agent handles outreach, answers questions, and books meetings around the clock, enabling VTT to connect with close to 100% of inbound leads.
Use Case
AI-Powered Autonomous Inbound Lead Qualification and Engagement
Tools
Agentforce
Input
Inbound lead records from web forms, event registrations, and digital campaigns; CRM and company knowledge base data; product and service information
Process
Agentforce SDR agent autonomously engages each inbound lead using natural language, qualifies them against BANT criteria, answers product and service questions using preloaded company data, handles objections, and books meetings with human sales reps when leads are ready to progress
Output
Qualified leads with meeting bookings routed to human sales reps; 24/7 outreach coverage across all inbound channels; structured lead engagement records in Salesforce CRM
Outcome
VTT now connects with close to 100% of its 4,000 annual inbound leads, freeing its SDR team to focus on high-value partnerships and complex sales conversations
Research Institutes
Sales
Siemens Digital Industries' Intent Data Lead Qualification
Siemens Digital Industries deploy Bombora's Company Surge intent data to identify companies actively researching factory automation solutions early in their buying journey, before competitors gain visibility. The initiative increases sales acceptance of marketing-qualified leads from 1% to 90% and achieves a 94% win/loss rate across 400+ new pipeline opportunities.
Use Case
AI-Powered Buyer Intent Data for Sales Lead Prioritisation
Tools
Bombora
Input
Bombora Company Surge intent signals drawn from over 5,000 B2B websites, combined with Siemens' CRM data, account lists and firmographic profiles
Process
Bombora's AI algorithms analyse content consumption patterns across the web to identify companies showing elevated research activity on automation-relevant topics; intent scores are integrated into Siemens' CRM and campaign platforms to prioritise outreach and target programmatic advertising to in-market accounts
Output
Ranked and scored account lists of in-market buyers; intent-driven programmatic ad targeting; telequalification lead lists prioritised by purchase propensity
Outcome
MQL acceptance rises from 1% to 90%, with a 94% win rate, 400+ new pipeline opportunities, and telequalification costs cut by 99%
Industrial Equipment and Engineering Services
Sales
Klarna's AI Shopping and Sales Recommendation Agent
Klarna deploy an OpenAI-powered shopping assistant that enables customers to search for products across thousands of merchant partners, compare options, receive personalised recommendations and find the best available price and stock information, all within a single conversational interface.
Use Case
AI-Powered Conversational Shopping and Product Recommendation
Tools
Internal Tools & OpenAI
Input
Customer queries, purchase history, merchant product catalogues across Klarna's network of 675,000+ merchants, real-time price and stock data, cashback availability
Process
OpenAI LLMs power an assistant that searches across Klarna's merchant network to find matching products, compares pricing and availability and performs reverse search to identify merchants accepting Klarna
Output
Personalised product recommendations with real-time price, stock, delivery, and cashback data
Outcome
Significant revenue uplift (38%) as the company scales its commerce network powered by AI-assisted commerce
Payments and Fintech
Sales
airBaltic's AI Dynamic Ancillary Seat Pricing
airBaltic partner with PROS to deploy Dynamic Ancillary Pricing, automating the optimisation of seat assignment prices in real time across their e-commerce platform. The AI-driven system removes the need for manual price setting and monitoring, delivering a 6% increase in ancillary revenue per passenger.
PROS Dynamic Ancillary Pricing uses machine learning to continuously analyse demand and customer propensity data, automatically setting and adjusting seat prices across all route and fare combinations without manual analyst intervention
Output
Continuously optimised, automatically updated seat assignment prices across airBaltic's full flight inventory; pricing decisions executed without manual review
Outcome
6% increase in ancillary revenue per passenger; elimination of manual price maintenance for seat assignments; pricing team freed from routine monitoring tasks to focus on strategic pricing decisions
Airlines and Air Cargo
Sales
Siemens' Celonis Order-to-Cash Process Automation
Siemens deploy Celonis Process Mining across their global sales and Order-to-Cash operations, enabling 1,500 sales users to identify and eliminate process inefficiencies across over one million customers. The initiative delivers a 24% increase in automation rate and reduces manual touches by 10 million per year.
Use Case
AI-Powered Order-to-Cash Process Mining and Automation
Tools
Celonis
Input
End-to-end Order-to-Cash process event data across 200+ manufacturing plants, 100,000+ suppliers, and over 1 million customers
Process
Celonis Process Mining ingests ERP event logs, maps process variants, and flags rework and deviation patterns; automation then eliminates the identified inefficiencies.
Output
Global process transparency dashboards; automation and rework rate benchmarks by country, division, and customer; targeted automation recommendations for sales order workflows
Outcome
Automation rate increases by 24% globally, reducing rework by 11% leading to 10 million fewer manual touches per year across Order-to-Cash
Industrial Equipment and Engineering Services
Sales
ADP's "Modern Seller" AI Transformation
ADP embed Gong's Revenue Intelligence Platform into their enterprise sales organisation as part of a modern seller transformation initiative. Sales representatives who review their calls in Gong consistently achieve higher enterprise win rates than those who do not, with AI-powered deal insights and coaching improving pipeline management across all revenue teams.
Use Case
AI-Powered Sales Conversation Intelligence and Coaching
Tools
Gong
Input
Enterprise sales call recordings, customer interaction data, CRM opportunity records, email threads, and calendar events across ADP's global revenue teams
Process
Gong captures all customer interactions and generates AI-backed call briefs, Smart Tracker summaries, and next-step recommendations; managers use the platform to identify coaching opportunities and track compliance with sales methodologies without manual call review
Output
AI-generated call briefs, deal health snapshots, prioritised rep to-do lists, pipeline risk flags, and cross-functional interaction summaries for service handover
Outcome
Enterprise deal win rates demonstrably higher for reps and leaders and AI call briefs reduce call review time to minutes