Mevcut ERP, CRM veya WMS sistemimizi değiştirmemiz gerekir mi?

Hayır. Önceliğimiz mevcut yatırımlarınızı korumaktır. Uygun API, web servis, veri tabanı görünümü veya güvenli ara katman üzerinden entegrasyon kurar, yapay zekâ yeteneklerini sistemlerinizin üzerine ekleriz.

Kurumsal AI asistanı hangi verilere erişebilir?

Asistan, kullanıcının mevcut rolü ve tanımlanan iş/veri kapsamı içinde çalışır. Yalnızca izin verilen kurumsal sistemlere ve kontrollü veri araçlarına erişir, kullanıcının görme yetkisi olmayan kayıtları cevaplarına dahil etmez.

Hazır uygulama ile kuruma özel çözümün farkı nedir?

Hazır uygulamalar belirli bir iş alanı için önceden geliştirilmiş kabiliyetlerle sunulur, VReposit WMS AI Asistanı bunun çalışan örneklerinden biridir. Kuruma özel çözümde ise veri kaynakları, başarı KPI’ları, kullanıcı rolleri ve entegrasyonlar ihtiyacınıza göre tasarlanır.

Yapay zekâ önerilerinin doğruluğu nasıl ölçülür?

Proje başında tahmin doğruluğu kadar iş sonucunu da tanımlarız. Tasarruf edilen süre, azalan hata, yakalanan risk veya artan dönüşüm gibi KPI’ları pilot ve canlı kullanım boyunca izleriz.

Verilerimiz güvenli mi, dışarı çıkar mı?

Mimari; kurumunuzun güvenlik, KVKK ve erişim politikalarına göre tasarlanır. Yetkilendirme, kayıt izi, veri maskeleme ve uygun olduğunda kurum içi ya da özel bulut kurulum seçenekleri değerlendirilir.

Yeterli verimiz yoksa başlayabilir miyiz?

Evet. Önce veri hazırlık seviyesini değerlendiririz. Gerekirse doğru veriyi toplamaya yönelik yol haritası ve küçük bir pilotla başlanır, çözüm veri olgunluğunuzla birlikte geliştirilir.

Proje ne kadar sürer?

Süre; veri kaynakları, entegrasyon sayısı ve senaryonun kapsamına bağlıdır. İlk keşif sonrasında, hızlı değer üreten pilot ile ölçekleme fazlarını ayrı ayrı planlarız.

Artificial Intelligence Solutions

AI that understands your systems and acts ahead of time

We develop enterprise AI solutions that interpret your ERP, CRM and WMS data alongside business rules, flag risks early, and produce answers backed by verifiable sources and actionable recommendations.

VReposit AI Assistant

LIVE DATA

WHAT SHOULD WE FOCUS ON TODAY?

Three critical signals need attention in your operations.

STOCK RISK · WMS + ERP 87% confidence

The risk of PRD-204 running out of stock within six days has increased. Open purchase orders will not cover demand.

PROACTIVE RECOMMENDATION

Order 480 units from an alternative supplier.

Estimated time saved: 4 days View the recommendation and sources →

ERP

→

CRM

→

WMS

→

AI Assistant

WORKS WITH YOUR EXISTING INFRASTRUCTURE

Keeps your systems in place

Understands business context

Cites its sources

Acts with human approval

01 OUR APPROACH

Give your business stronger decision-making with AI

Enterprise AI solutions add forecasting, process automation and assistant capabilities to your existing ERP, CRM and WMS data. Verimix develops custom AI assistants, prediction and optimization models, and managed AI services. Assistants work only within each user’s role and defined data scope; authorization, audit trails and data masking are built into the architecture.

Interpreting enterprise data in context

We interpret order, inventory, customer, production and operational data using your organization’s terminology and business rules.

Proactive recommendations

We deliver risks, opportunities and recommended actions to the right person without waiting for a report request.

Controlled integration

We retain your existing ERP, CRM, WMS and custom applications, connecting them through APIs and secure data layers.

AI under human supervision

We show the source and confidence level of each recommendation and govern critical actions through role and approval rules.

02 ENTERPRISE AI APPLICATIONS

A custom AI layer connected to your business systems

INTEGRATED WITH ERP · CRM · WMS

We bring your enterprise data, business rules and knowledge sources together in one secure decision-support layer. Each team can access analysis, early warnings and action recommendations within its own role and permissions.

A solution portfolio shaped around your needs

Enterprise AI applications that support decisions as they happen

We develop natural-language assistants, prediction models, early-warning systems and automation under human supervision without replacing your existing software.

Enterprise data assistant

Natural-language questions, analysis and reporting on authorized data

Early warnings and anomaly detection

Making risks, deviations and opportunities visible before users ask

Prediction and recommendation models

Forecasts for demand, inventory, sales, capacity and customer behavior

Document intelligence

Document classification, data extraction, summarization and comparison

Controlled automation

Secure workflow integration with human approval and role-based rules

Monitoring and governance

Managing quality, usage, costs, sources and audit records

APPLICATION IN ACTION

VReposit WMS AI Assistant

This working example of our approach to warehouse management analyzes real WMS data within the user’s role and warehouse permissions.

Which tasks will not be completed by the end of today’s shift?

Which warehouse has a bottleneck, and what is the root cause?

Why has picking performance declined over the last seven days?

How does critical stock risk affect open orders?

Show the source of incorrect barcode scans and their breakdown by user.

Prepare this week’s executive summary as a PDF.

Answers with sources

See which enterprise data supports the result.

Role- and data-based permissions

Users can query only the data they are authorized to access.

Auditable usage

Questions, tool calls, results and feedback are logged.

Budget and usage controls

User, request, token and cost limits are managed.

01 INSIGHT

Ask and analyze

Natural-language queries, answers with sources and executive reports

02 PROACTIVE

Get alerted before risks materialize

Scheduled checks, early warnings and action recommendations

03 CONTROLLED ACTION

Approve and launch the workflow

Business process integration with human approval and role-based rules

03 SERVICE MODEL

End-to-end AI services, from idea to production

We assess your business goals, data sources and existing technology architecture together, without limiting the solution to one product or industry, and develop enterprise AI solutions that deliver measurable results.

AI strategy and discovery

Together, we define the business problem, success criteria and use cases with the greatest potential value.

Data and integration readiness

We build a production-ready architecture that addresses data quality, access, security and system connections.

Custom AI assistant

We develop assistants that understand your business terminology, cite sources and follow your existing authorization model.

Prediction and optimization

We turn demand, capacity, risk and behavioral data into decision-support models and action recommendations.

Process automation

We safely accelerate repetitive work through human approval and your organization’s business rules.

Managed AI service

We monitor and improve quality, usage, costs and model performance throughout production use.

04 FROM REPORTS TO ACTION

From “What happened?”
to “What should we do now?”

Verimix AI combines signals from different enterprise systems, assesses likely outcomes and recommends actions appropriate to the user’s role, going beyond a summary of past events.

“Customer A’s order frequency has fallen by 24%. CRM meeting notes and open quotation data indicate an increasing risk of losing the customer. Schedule a meeting this week.”

LIVE SCENARIOS

ERP SIGNAL

Demand is rising

AI RECOMMENDATION

Update the purchasing plan

CRM SIGNAL

AI RECOMMENDATION

Create a customer follow-up action

WMS SIGNAL

Picking times are increasing

AI RECOMMENDATION

Optimize routes and layout

05 OUR METHODOLOGY

Understand the data, learn and turn it into solutions

We manage AI projects as business transformations with success metrics defined from the outset.

Business Problem and KPIs

We clarify the decision point, the user and the business outcome to be measured.

Data and Integration

We analyze data quality, ownership, access and security boundaries.

Model and Prototype

We choose the most suitable AI approach and validate the first use case using real data.

Pilot and Integration

We connect the solution to your workflow and improve it through user feedback.

Monitoring and Learning

We continuously track model performance, changes in data and business outcomes.

06 USE CASES

A shared intelligence layer across departments

It evaluates different data sources in the same business context, supporting each team when decisions need to be made.

Sales and CRM

Opportunity scoring, customer churn risk, quotation recommendations and sales representative actions

Warehouse and logistics

Stock risk, picking routes, capacity forecasting and shipment anomaly detection

Production and quality

Maintenance needs, defect trends, quality deviations and production planning recommendations

Finance and purchasing

Cash flow forecasting, payment anomalies, supplier risk and purchasing recommendations

Management and decision support

KPI explanations, scenario comparisons and natural-language enterprise data analysis

Document operations

Document classification, data extraction, summarization and approval workflow automation

07 SECURE AND MANAGEABLE AI

You stay in control of enterprise AI

We manage AI as an enterprise service with measurable access, quality, cost and impact.

Authorization boundaries

Roles, business units and data scope are preserved; the AI application stays within your existing access model.

Sources and audit trails

Answer sources, tools used, errors and user feedback can be traced.

Quality measurement

Test scenarios and evaluation records track accuracy, tool selection and reliability.

Cost controls

Usage is controlled through monthly, daily and per-user request, token and budget limits.

08 YOUR QUESTIONS

Frequently Asked Questions

Do we need to replace our existing ERP, CRM or WMS?

No. Our priority is to protect your existing investments. We integrate through suitable APIs, web services, database views or secure middleware, adding AI capabilities to your current systems.

What data can an enterprise AI assistant access?

The assistant works within the user’s existing role and the defined business and data scope. It accesses only authorized enterprise systems and controlled data tools, and excludes records the user is not permitted to view from its answers.

What is the difference between an off-the-shelf application and a custom solution?

Off-the-shelf applications provide capabilities developed for a specific business domain; the VReposit WMS AI Assistant is one working example. In a custom solution, data sources, success KPIs, user roles and integrations are designed around your needs.

How is the accuracy of AI recommendations measured?

At the start of the project, we define business outcomes alongside prediction accuracy. We track KPIs such as time saved, errors reduced, risks detected and conversion improvements throughout the pilot and production use.

Is our data secure, and does it leave our environment?

The architecture is designed around your organization’s security, Turkish Personal Data Protection Law (KVKK) requirements and access policies. We assess authorization, audit trails, data masking and, where appropriate, on-premises or private cloud deployment options.

Can we get started if we do not have enough data?

Yes. We first assess your data readiness. If needed, we start with a roadmap for collecting the right data and a small pilot, developing the solution as your data maturity grows.

How long does a project take?

The timeline depends on the data sources, number of integrations and scope of the use case. After initial discovery, we plan a pilot that delivers value quickly and the subsequent scaling phases separately.

MORE EFFICIENT TOGETHER

Let’s build your transformation roadmap together

In our first meeting, we will assess your current situation, primary goal and the area that can deliver value fastest.