Solution

Enterprise CRM and process automation: removing chaos from B2B sales and service

In large companies, sales and service typically operate across a mix of Excel, email, several CRMs, and disparate dashboards. The leader sees revenue but not the reasons behind it. The Enterprise CRM platform is not the procurement of a boxed product, but a reassembly of sales and service processes around a unified customer profile with managed funnel and routine automation.

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This page describes the Samarali Soft approach to the Enterprise CRM platform as a reassembly of sales and service processes around a unified customer profile — with managed funnel, routine automation, and real metrics for the leader.

How It Should Work

Each customer exists as a unified profile with the history of all interactions — leads, meetings, correspondence, deals, contracts, payments, service inquiries. The sales funnel is managed as a process with stages, owners, deadlines, artifacts. Marketing sees which leads converted and optimizes campaigns on that data. Service sees customer context and does not ask the same questions twice. The leader gets a dashboard with real metrics — conversion by stage, average cycle, loss reasons, customer NPS. Routine steps (approvals, reminders, document generation) are automated.

Sales funnel configuration for actual process
Unified customer profile with interaction history
Link with marketing platform (lead attribution)
Link with contact center and service (customer context)
Automation of contract and proposal generation
Electronic document workflow and approvals
Limit and individual price management
Leader dashboard with real metrics
Conversion and revenue forecasting
CRM adoption and data quality monitoring

Где обычно все ломается

01
CRM used as contact book, not as operational tool
02
Sales funnel does not reflect actual process — stages are formal
03
Customer duplicates in CRM — same customer with three records
04
Marketing and sales operate in different systems without context handoff
05
Service isolated from sales — customer in active deal gets template responses
06
Reporting compiled manually every Monday — takes managers up to 4 hours weekly

What This Leads To

Funnel conversion below potential — typically 20-40% revenue loss at process seams
Deal cycle longer than necessary — competitors with better process win
Sales team spends up to 30% of time on manual tracking instead of customer work
Marketing spends budget on leads that do not convert — visible only after months
Leader makes decisions on outdated or distorted data — direction is wrong
Best salespeople burn out on manual routine and leave to competitors

How I Approach the Challenge

I start by reviewing the actual sales process — walk through a typical deal from first contact to contract signing. Where do delays occur, who does what, what data is handed between roles, where is re-entry. In parallel — sample of 30-50 closed and lost deals from the last 6 months with analysis of what's common to lost ones and why they were lost. Then — review of marketing and service work to understand how connected (or disconnected) they are with sales. This gives the quantitative basis.

Recognize your situation?

Discuss Your Setup

How We Work

My Role

I help the company move from 'we have CRM but no one uses it' to 'CRM is the operational contour, work does not flow without it'. I review the actual process from an independent position, design the target model, agree with department heads, and prepare the case for the platform decision (ready or custom). A separate part is internal communication with the sales team, who often perceive new CRM as control and resist. Without this work, implementation fails at the adoption stage.

Team Role

The team builds the CRM configuration for the reassembled process, unified customer profile, integration with marketing platform, contact center, ERP, document management, leader dashboards, automation of contract generation and reminders, team training, historical data migration, adoption monitoring.

Key Considerations for Implementation

🔎 Decision 'ready or custom CRM' depends on company size and process complexity
🔎 Without sales team adoption, any CRM becomes an expensive contact book
🔎 Process reassembly is more important than platform choice — first the process, then the tool
🔎 Unified customer profile across multiple systems is a separate task requiring a data steward
🔎 Document management and approvals often turn out to be bottlenecks — plan for them
🔎 Adoption takes 3-6 months after technical implementation — that is normal

What Results to Expect

Funnel conversion grows 20-40% through eliminating losses at process seams
Deal cycle shortens 25-35% through automation of routine steps
Sales team manual tracking time drops from 30% to 5-10%
Leader gets real-time metrics — decisions on data
Service closes inquiries 30-40% faster through customer context
Marketing budget optimized based on real lead attribution

Frequently Asked Questions

Ready CRM or custom development?
Depends on process complexity and company size. For most B2B companies with typical processes, ready CRM (with serious configuration) fits — faster and cheaper. Custom development is justified for large business with unique model where the ready platform does not cover 30-40% of tasks. Decision is made after process diagnostics, not before.
How long does implementation take?
Configuration and technical implementation — 4-6 months. Team adoption and real use — another 3-6 months. Visible business effect — 9-12 months. Anyone promising 'CRM in 6 weeks' either simplifies process beyond recognition or builds something not used later.
How to make sales team use CRM?
Not by force, but by making it more advantageous to use than not to. Tie KPIs and bonuses to CRM data. Remove duplicate Excel reports. Give tools that save the manager's time (auto document generation, reminders). Without these conditions, any CRM is sabotaged by the team within 2-3 months.
What about historical data in current CRM?
Cleanse and migrate only what is really needed — active deals, active customers, last 12-24 months of history. Keep archive data in the old system with access for occasional queries. Full migration of all history rarely justifies itself — doubles the project cost without proportional value.
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