memsolus
Usecase — Sales & CRM

The copilot that
remembers every
negotiation

Sales copilots with memory of every lead interaction. Instant briefings, real pipeline forecasting, and account retention at exactly the right moment.

Explore for Sales →View Documentation
−50%
Meeting prep time
+28%
Follow-up conversion
+40%
Forecast accuracy
Deal #8124 — Copiloto MemSolusBriefing pronto
Manufatura Horizonte S.A.
Thiago R. · Reunião em 30 min · 6 semanas de negociação
R$ 84k/ano
Proposta enviada
Qualificação
Demo
Proposta
Negociação
Fechamento
Briefing gerado pela IA
💡
Interesse principal
integração com SAP e automação do relatório de capacidade produtiva
⚠️
Objeção em aberto
preocupação com prazo de implementação — não endereçada satisfatoriamente
✅
Compromisso cumprido
cases de SAP enviados na sexta — confirmar que foram recebidos
👤
Stakeholder-chave
CFO tem resistência a contratos acima de 12 meses — proposta atual é 24 meses
Recomendação para esta reunião
Confirme o recebimento dos cases SAP, pergunte se a preocupação com implementação foi endereçada. Se o CFO participar, tenha opção de 12 meses preparada.
Problem

Sales teams lose deals
from lack of context, not data

01

Preparation that consumes hours

A senior rep spends 30 to 40% of productive time preparing — re-reading emails, listening to recordings, rebuilding context that should be available in seconds.

02

Forecast based on intuition

Predictions with 20 to 40% error margin. Deals appear as lost in closing week — without anyone seeing the risk signals in advance.

03

Opportunities that go cold

Mid-funnel negotiations sit unattended until it's too late. Accounts at risk of churn aren't identified in time because no one analyzes the signals in an integrated way.

Features

Three revenue levers with persistent memory

01 — Copilot

Contextual Sales Copilot

Remembers every lead interaction: emails, calls, objections, and interests. The rep arrives prepared for every meeting with full context and recommendations.

Use case scenario

Thiago has a meeting in 30 min. The copilot generates an instant briefing: interest in SAP integration, open implementation timeline objection, cases sent Friday — confirm receipt.

AI-generated briefing
✅
Compromisso cumprido
Cases de SAP enviados na sexta
⚠️
Objeção em aberto
Prazo de implementação — não endereçada
💡
Interesse principal
Integração SAP + automação de relatórios
👤
Risco stakeholder
CFO resiste a contratos acima de 12 meses
AI Recommendation

Confirm SAP cases. If CFO attends, prepare 12-month option.

02 — Pipeline

Intelligent Pipeline Forecasting

Analyzes patterns from past negotiations to predict closing probability. Identifies at-risk deals before opportunities go cold.

Pipeline Forecast
Horizonte Ind.R$ 84k
PropostaAlta
LogiTech S.A.R$ 120k
NegociaçãoRisco
Grupo VeritasR$ 56k
DemoMédio
03 — Retention

Account Retention and Expansion

Monitors churn signals and identifies upsell opportunities based on full account history. Suggests the ideal moment to expand each account.

Retention Signals
⚠️
Construtora Veritas
Uso caiu 30% nas últimas 3 semanas. Ticket de integração não confirmado.
→ Ligar nos próximos 2 dias
📈
Distribuidora Norte
Atingiu 95% do limite do plano atual. Cresceu 40% nos últimos 2 meses.
→ Propor upgrade agora
⚠️
Pharma Solutions
Contato principal ausente há 3 semanas. Nenhuma resposta ao check-in.
→ Escalar para gerente
Measurable impact

Results that
close more deals

Sales teams implementing contextual memory report significant improvements in preparation, conversion, and revenue predictability.

View Documentation →
Meeting preparation time−35–50%
Reduction in per-rep meeting prep time with instant briefing generation.
Follow-up conversion rate+18–28%
Increase in follow-up conversion with complete negotiation context.
Quarterly forecast accuracy+25–40%
Improvement in forecast precision with real negotiation pattern analysis.
Deals lost from lack of follow-up−20–35%
Reduction in lost deals with early detection of risk signals.
NRR (net revenue retention)+8–15pp
Increase in renewal rate with proactive retention and well-timed expansion.
New rep ramp time−30–45%
Reduction in time for new reps to reach full productivity with historical context.
TypeScript
Technical integration

Works with your current CRM

REST API

Complete endpoints to create and search memories for deals and accounts. Compatible with any CRM via webhooks.

Salesforce · HubSpot · Pipedrive
Native MCP

MCP server to connect Memsolus directly to compatible sales copilots without additional code. Integration in minutes.

Claude · GPT-4 · Gemini
Webhooks

Bidirectional sync with CRMs — memories created when activities are logged, context available when the rep opens a deal.

Real time
SDKs

TypeScript for custom CRM frontends and Node.js. Python for pipeline analysis pipelines and predictive models.

SOC-2 · GDPR
Why MemSolus

Memory that turns every
negotiation into predictable revenue

Real semantic context

"CFO resistant to long contracts" is retrieved when preparing a proposal — context by intent, not by CRM field.

Forecast based on real patterns

Forecasting based on negotiation behavior — stage progression speed, interaction frequency, lead response pattern.

Proactive account retention

Churn signals detected before the customer decides to leave. Expansion suggested at the exact moment when context is most favorable.

The rep who knows every deal — every meeting.

Persistent memory for sales teams — more conversion, more predictability, fewer lost deals.