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Salesforce Clouds

Sales Cloud

Transform your sales organisation with Sales Cloud implementations that leverage Einstein AI for predictive lead scoring, opportunity insights, and automated activity capture. AQBEE delivers end-to-end Sales Cloud solutions — from territory planning and CPQ integration to advanced analytics dashboards — so your reps spend more time selling and less time on admin.

Capabilities

What We Deliver

AI-Powered Lead Scoring & Routing

Deploy Einstein Lead Scoring models trained on your historical conversion data to automatically prioritise and route high-propensity leads to the right reps in real time.

Opportunity & Pipeline Intelligence

Surface deal-level insights with Einstein Opportunity Scoring, automated next-best-action recommendations, and pipeline inspection dashboards that highlight at-risk deals.

Revenue Forecasting & Analytics

Build collaborative forecasting hierarchies with AI-adjusted predictions, overlay splits, and real-time roll-up reports connected to your financial planning tools.

Sales Engagement & Activity Capture

Automate email and calendar sync with Einstein Activity Capture, create high-velocity sales cadences, and track buyer engagement signals across every touchpoint.

Territory & Quota Management

Design balanced territories using data-driven models, assign quotas with historical trend analysis, and realign dynamically as markets shift.

Mobile Sales Productivity

Equip field reps with the Salesforce Mobile App customised for offline access, voice-to-CRM updates, and location-based account intelligence.

Real-World Applications

How We Apply It

1

Predictive Pipeline Management for B2B SaaS

A mid-market SaaS company uses Sales Cloud with Einstein Opportunity Scoring to surface deals most likely to close within the quarter, enabling managers to reallocate resources and improve win rates by 28%.

Key Highlight

Einstein Opportunity Scoring analyses historical win/loss patterns, engagement velocity, and competitor mentions to assign a dynamic score to every open deal.

2

Automated Lead Qualification for Financial Services

A wealth management firm routes inbound enquiries through Einstein Lead Scoring, instantly qualifying prospects based on AUM indicators, product interest, and digital engagement before assigning them to advisors.

Key Highlight

Einstein Lead Scoring model trained on five years of conversion data, combined with Data Cloud real-time web-behaviour signals.

3

Global Territory Optimisation for Medical Devices

A medical device manufacturer rebalances 200+ sales territories quarterly using Sales Cloud Maps and AI-driven workload analysis, reducing travel time and increasing face-to-face meetings by 35%.

Key Highlight

Einstein Analytics predictive models combined with geospatial data to optimise territory boundaries and quota allocation.

Case Studies

Sales Cloud Success Stories

See how we've delivered measurable results with Sales Cloud.

AI-Powered Field Engagement Platform for Pharmaceutical Sales
40%
Selling Time Increase
Pharmaceutical

AI-Powered Field Engagement Platform for Pharmaceutical Sales

Meridian Therapeutics

Meridian's 450-person field sales team was operating on disconnected systems — a legacy CRM for HCP data, separate tools for sample management and call planning, and manual spreadsheets for territory alignment. Reps spent 35% of their time on administrative tasks rather than engaging with healthcare providers, and the company had no visibility into which interactions were driving prescription lift.

Sales CloudEinstein AISalesforce Mobile SDKMuleSoft
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Omnichannel Commerce Transformation for a National Retailer
67%
Online Revenue Growth
Retail

Omnichannel Commerce Transformation for a National Retailer

Luxford & Gray

Luxford & Gray, a premium home furnishings retailer with 85 stores and a growing e-commerce presence, was struggling with disconnected customer experiences. Online and in-store purchase histories were separate, inventory visibility was fragmented, and marketing campaigns were batch-and-blast rather than personalised. The retailer was losing ground to competitors who offered seamless omnichannel experiences including buy-online-pickup-in-store (BOPIS) and unified loyalty programmes.

Commerce Cloud (B2C)Marketing CloudData CloudMuleSoft
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AI-Powered Lead Scoring and Automation for a Residential Real Estate Brokerage
6 hours → 3 minutes
Lead Response Time
Real Estate

AI-Powered Lead Scoring and Automation for a Residential Real Estate Brokerage

PrimeNest Realty Group

PrimeNest's 280 agents received leads from 14 different sources — Zillow, Realtor.com, social media campaigns, open houses, referrals, and the company website — with no centralised management. Leads were distributed round-robin regardless of agent expertise or availability, response times averaged 6 hours, and 45% of leads were never contacted at all. The brokerage had no way to identify high-intent buyers from casual browsers, and agents wasted hours calling cold leads while hot prospects went to competitors. Lead-to-close conversion was 1.8%, well below the 3.5% industry benchmark.

Salesforce Sales CloudEinstein Lead ScoringMuleSoftMarketing Cloud
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Need Help with Sales Cloud?

Our certified experts are ready to help you implement and optimize Sales Cloud for your organization.

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