SalesforceSoftware / SaaSSales AutomationERP / CRMGenerative AI / LLMProductivity ImprovementRevenue Growth2024SalesforceSF#00a1e0Software / SaaSUnited StatesManual tasks prevent sales teams from focusing on relationship-first conversations Commercial Real Estate Exchange, Inc., or Crexi, is a marketplace and technology platform where brokers, buyers, and tenants lease, buy,…2 min readJan 5, 20246Sales AutomationEinstein AI · Einstein Next Best Action · Sales Cloud02024-01-056
Manual tasks prevent sales teams from focusing on relationship-first conversations Commercial Real Estate Exchange, Inc., or Crexi, is a marketplace and technology platform where brokers, buyers, and tenants lease, buy, and sell commercial real estate. It’s a business where deals are made through conversations.
↗Crexi saves its sales reps 5 hours a day with Sales AI.
↗Learn how Crexi’s sales team focuses 80% of its time on customers when AI takes on admin tasks.
Reported impact
Business outcome
Reported outcomes include Crexi saves its sales reps 5 hours a day with Sales AI., Learn how Crexi’s sales team focuses 80% of its time on customers when AI takes on admin tasks., and 2 min read.
Productivity Improvement
Revenue Growth
Solution
Crexi moves its sales processes into the future with Einstein Crexi asked Salesforce to provide a compliant solution to optimize its sales process, while protecting the data of its customers. Now Crexi enhances and expedites its sales operation with Einstein . Crexi doesn’t see the future of real estate as robots making calls or sending emails. Rather, the company sees AI as a way to supercharge people’s capabilities. The advantage of generative AI is that it can handle critical tasks that don’t necessarily need to be done by a person. Sales AI is making it easier and better to work, but not by taking jobs from sales reps. Deals are won by having a conversation, and I think you’re always going to need a person to have that relationship and build that rapport with the customer.
Solution architecture
3 components · 2 layers
Compute
Einstein AIGenerates recommendations, summaries, and content that help teams summarize prospects, generate follow-ups, and recommend next sales steps faster.
Einstein Next Best ActionRecommends the next best follow-up step while teams summarize prospects, generate follow-ups, and recommend next sales steps.
Serving
Sales CloudStores account, opportunity, and workflow data teams use to summarize prospects, generate follow-ups, and recommend next sales steps.
Architecture clues
The implementation uses retrieval-augmented generation to ground responses.
Evidence from the source
But Crexi’s sales reps were spending critical time on admin tasks like drafting emails, writing up call notes, and conducting customer research that took up a significant percentage of their day.
Crexi moves its sales processes into the future with Einstein Crexi asked Salesforce to provide a compliant solution to optimize its sales process, while protecting the data of its customers.
Crexi saves its sales reps 5 hours a day with Sales AI.
It’s a business where deals are made through conversations.
Learn how Crexi’s sales team focuses 80% of its time on customers when AI takes on admin tasks.
Now Crexi enhances and expedites its sales operation with Einstein .
Review how this reference was scored and trace each normalized claim back to its documented source.
01
Scoring methodology
How scores are calculated
Customer Reference Value measures usefulness as a customer reference. Evidence Confidence measures the quality and traceability of available evidence, not independent verification.
Customer reference value95/100
Problem clarity20/20
Measures whether the customer's operational problem is specific enough to compare.
Implementation depth20/25
Rewards named components, data flow, integrations, and architecture detail.
Outcome specificity20/20
Measures whether the reported benefit is concrete rather than a generic claim.
Quantified impact25/25
3 metrics describe measurable impact.
Deployment scale10/10
Rewards evidence of a live or scaled deployment and meaningful integration scope.
Evidence confidence92%
Source authority20/25
The main evidence is an official vendor-published customer story.
Claim traceability25/25
12 of 12 key fields link to a named source.
Direct evidence20/20
6 direct source quotes retained.
Date provenance10/10
The publication date comes from the source page or publisher.
The Organization JSON-LD on the profile lists addressCountry "US", addressLocality "Playa Vista", streetAddress "5510 Lincoln Blvd", and "numberOfEmployees":{"@type":"QuantitativeValue","value":400}. A 400-employee company maps to Mid-market under the 250-999 rule.
Source type
Structured company profile
Supports
Region
Company size
Date evidence
Published on source pageJan 5, 2024 · Salesforce · First-party
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