Complaint and request management for savings finance
Next4biz CSM is an omnichannel, workflow-based and AI-powered enterprise customer service management solution.
Next4biz is built for regulated industries and is used in Türkiye by banks, participation banks, payment institutions and insurers. Savings finance companies offer interest-free home and vehicle financing: customers save together in a pool and receive financing when their delivery comes due. Next4biz keeps every request, from the savings period to delivery and refund, on one traceable record, hosted in the data center you choose.
AI understands, classifies and answers. It starts the required workflow itself.
One unified savings finance experience across every channel
Next4biz CSM is more than a simple ticketing or helpdesk tool; it is an AI-powered, omnichannel, end-to-end customer service solution. It consolidates all communication channels — call center, email, live chat, in-app chat, WhatsApp, social media, complaint platforms, AppStore, Play Store, and review sites — into a single, unified experience. In savings finance, delivery, payment and contract requests from the mobile app, website, sales offices, call center, WhatsApp, email, social media and review sites come together in the same customer record.
All channels share a unified customer profile and conversation history. When a customer moves from chat or email to phone, every agent sees the complete journey. No repetition, no lost context, no fragmented experience. The interaction feels seamless, as if there were only one channel. Customers are recognized across all channels. Agents have access to comprehensive customer data. They are also provided with sentiment analysis for customer satisfaction scores and previous tickets.
Omnichannel Call Center Demo
Next4biz recognizes the caller from the number, pulls context from your systems through APIs, and brings the full cross-channel history to the agent screen — before the call is even answered.
Next4biz works with cloud or traditional call centers that support CTI. It recognizes the customer from the caller number, queries existing systems through APIs and brings the necessary information, together with the customer's history across other channels, to the agent screen. The agent can see the customer and issue context before the call is even answered.
Issue Intelligence guides the call center agent during the conversation. It helps collect the right information, categorize the issue accurately and transfer it to the relevant workflow.
The Supervisor Bot answers call center agents' questions and provides guidance based on the organization's knowledge, procedures and past experience.
Live Chat, In-App Chat & WhatsApp
Embed Next4biz live chat into your website, customer portal and mobile apps — and manage WhatsApp in the same place. The AI Chatbot resolves issues end-to-end, in the same channel.
Next4biz instant-messaging interfaces can be embedded into websites and web applications. In customer portals, contract tracking screens, self-service portals and similar digital experiences, customers can get support directly through live chat inside the application. The same live-chat infrastructure can also be integrated into mobile apps.
Customer conversations coming from WhatsApp can be managed in the same structure. Through APIs, the system works with your existing applications, CRM, ERP and other enterprise systems.
The AI Chatbot can handle conversations from live chat and WhatsApp, retrieve the necessary information from connected systems, resolve the issue and respond to the customer in the same channel.
Written Channels
Social media, complaint & review platforms, app stores, email and your own web/mobile apps — monitored, managed and answered from one place. The AI Agent filters noise, classifies, resolves what it can, and routes the rest to a workflow.
Social media: Next4biz integrates with your social profiles, monitors comments and messages, and brings them into Next4biz screens. Track, manage and respond from a single place; replies are published back to the relevant channel. The AI Agent can produce an automated resolution and respond, or send the issue to Issue Intelligence for categorization, prioritization and routing.
Review & complaint platforms: Next4biz integrates with platforms such as Şikayetvar and Trustpilot, app stores (Google Play, Apple App Store) and Google Business Profile reviews. The AI Agent first evaluates content for relevance — filtering out emojis or contextless content — then identifies the issue type (request, complaint, thanks, suggestion) and priority, queries existing systems through APIs, and can respond in the relevant channel.
Email: When the email addresses you use to collect customer issues are defined in Next4biz, incoming messages are brought into Next4biz screens and answered through the email channel from a single place. The AI Agent evaluates relevance, determines type and priority, analyzes content, queries systems through APIs and can respond by email.
Web & mobile applications: Customer issues submitted through your web or mobile apps integrate with Next4biz — tracked, answered and resolved in Next4biz screens. The AI Agent analyzes, can produce automated resolutions, or routes to the right workflow.
PRIME: Filter First, Then Prioritize
The first step of AI support on written channels is triage. PRIME — Priority Ranking & Interaction Management Engine — listens to all written channels and decides whether each incoming item is a genuine customer ticket that needs handling, and how urgent it is.
Emojis, short contextless content, irrelevant messages from automated mailing lists and misrouted emails are filtered out at the gate or marked as low priority. Teams work on real tickets instead of noise.
Every valid message gets a type — complaint, request, information, thanks or spam — and an operational priority based on the tone, topic and impact of the content. Rule-based features, a transformer sentiment model and LLM context evaluation are fused into a single decision, each produced with a confidence score.
Self Service
Offer self-service through your website, mobile app or customer portal — customers create and track tickets, search answers through bots, and browse your knowledge base.
Next4biz Self Service lets customers create tickets, track tickets they submitted through any channel, search for answers through bots and browse your knowledge base — from your website, mobile app or customer portal.
When the AI Agent is integrated, it analyzes issues from self-service channels, can produce automated resolutions when appropriate and respond to the customer. If the issue cannot be resolved automatically or requires a workflow, it sends it to Issue Intelligence; the issue is then categorized, prioritized and routed to the right workflow.
Workflows, SLAs and escalation for savings finance requests
Category tree, forms & workflows
Next4biz provides no-code configurable workflows, service level, and escalation management capabilities. If cases received from any channel cannot be resolved at the first contact, they are routed to workflows defined for the corresponding category. Using no-code editors, workflows can be extended with as many steps as needed, and these steps can be sequenced. Each category — withdrawal requests, contract changes, installments not showing, delivery date disputes or termination refunds — opens its own form and workflow.
For each step, responsible groups or individuals can be assigned. Time limits can be defined, along with alert messages to be sent as deadlines approach and escalation actions to be triggered when deadlines are exceeded. Tasks for each step, forms to collect required data and documents, and checklists for quality assurance can all be defined through no-code configuration. Business rules can determine how tasks are distributed among responsible staff.
Conditional routing between steps is also possible — for example, directing VIP customers to a different path, or sending a dispute about how participation principles were applied to a separate step for the Shari’ah advisory committee. Service levels can be monitored per step as well as for the entire workflow. Workflows are a built-in feature of the product, and authorized personnel can view previous actions taken at each stage. Managers can track which stage each case is in, which steps are delayed, and, if appropriate, even share a summarized history with the customer during the resolution process.
Authorized users have access to customer data, including order and product details, and a complete history of tickets across all communication channels, departments, and involved parties, regardless of the issue's origin. They are also provided with sentiment analysis for customer satisfaction scores and previous tickets.
How It Feels in Practice
A real savings finance workflow example — from intake to resolution and prevention.
Example: "Delivery Date Dispute" category workflow
- 1
Case enters the category
The ticket enters Delivery › Delivery Date Dispute; the right form opens and the required data is collected up front (contract, product, savings period status, contractual delivery month, channel).
- 2
Workflow starts
Customer Service checks the contract and payments in 22 minutes (SLA 1 h). The delivery queue check is assigned to Fund Management with a 4-hour SLA.
- 3
SLA breached, escalation starts
Fund Management is warned an hour before the deadline; once the 4-hour SLA is breached, the case escalates to the Team Lead with full context (+1 h), then to the Director if still unresolved (+2 h). The Team Lead completes the check in 40 minutes: the down payment was recorded late, so the delivery queue was not updated.
- 4
Resolution & closure
The delivery queue is corrected, the Sales Office schedules the appraisal and the customer is notified by SMS. Checklists confirm every step; the case closes with a reason code and metrics in 5 hours 50 minutes.
- 5
Prevention & analytics
Data flows into category dashboards and root-cause reports (a down payment recorded late). Detected patterns trigger CAPA (corrective/preventive) actions to prevent recurrence — fixing the problem, not just answering tickets.
Automatic classification and routing for savings finance tickets
Issue Intelligence analyzes every ticket from every channel, determines its category and starts the relevant workflow. Noise on written channels is filtered out by PRIME before it reaches this stage.
Using what it has learned from past tickets and established categories, it automatically categorizes tickets. This works seamlessly across all channels — email, live chat, WhatsApp, social media, review platforms, marketplaces, phone calls and self-service portals.
It uses advanced content analysis to ensure consistent classification across all touchpoints, significantly reducing manual categorization effort and minimizing operational errors. The same intelligent categorization logic is applied regardless of where the inquiry originates — streamlining routing, improving response efficiency, and ensuring each ticket reaches the right team with the correct priority and context. For a savings finance company, this means a delivery date question or a withdrawal request lands in the same category and the same team, whichever channel it comes from.
Issue Intelligence in the Call Center
Categorizes
Using historical issues and built-in categories, it automatically determines the issue type, topic and context.
Routes
Intelligent classification simplifies routing, improves response efficiency and helps every issue reach the right team.
Stays Consistent
Even when the channel changes, the same categorization logic applies — reducing manual effort and operational errors.
Issue Intelligence across written channels
The same engine categorizes and routes every incoming message — email, social media, reviews and marketplaces — into the right workflow.
The same intelligence across every channel
No matter where the customer issue comes from, the system applies the same classification principles with advanced content analysis. This creates a shared, learning and consistent categorization layer instead of different interpretations by different teams.
Compliance-ready reporting, on the same platform
Because Next4biz is the system of record, the data and metadata required for regulatory reporting already live in the schema — ready to query and export.
Next4biz generates compliance exports through its reporting capability and BI integration. Because the platform serves as the system of record, all required regulatory data points and metadata are already resident within the database schema, allowing for direct querying and extraction.
For savings finance companies, the same record supports time-bound obligations: withdrawal and termination refunds have deadlines, and interest-free financing follows the same global frameworks as participation banking — AAOIFI’s Shari’ah standards and the IFSB’s guiding principles. In Next4biz, the customer’s written request, the company’s reply and any dispute referred to its Shari’ah advisory committee stay on one ticket — with dates, owners and documents — ready for review and reporting.
For reporting and analytics, Next4biz provides BI integration: tools such as Power BI, Tableau and Qlik are fed through ready-to-use APIs, so reporting and dashboard needs are met in the bank’s own BI environment.
From savings finance complaints to insight
AI analyzers in Next4biz CSM do more than record customer issues; they turn those issues into meaningful data, summaries, forecasts and actionable insights. For a savings finance company, this means seeing which root causes lie behind complaints that pile up around the delivery queue, payments and withdrawal refunds.
Sentiment Analysis
Evaluates expressions in incoming issues and assigns sentiment labels — happy, unhappy or neutral — for use in filters, reports and CX analyses.
Churn Analysis
Uses sentiment across all of a customer's issues to produce a five-level satisfaction score — identifying churn risk early and triggering automated actions.
Issue Forecast
Predicts how many issues may arrive in each category in the coming period — helping teams plan resources and spot rising volume.
Issue Summary
Summarizes the complete history of an issue, from customer communication to actions taken by internal teams within the workflow.
InsightX (Summarization Services)
How is your customer service doing? InsightX reviews the tickets in the categories you select, or across all of customer service, for the date range you set, using the AI summarization service, and answers that question.
- Your core problems and the most prominent customer dissatisfaction
- How the problems are distributed by theme, and their root causes
- Where to start, and which easy wins are within reach
Regional hosting, full data residency, certified
Next4biz CSM is hosted and operated in the data center the customer chooses — the European Union, the United Kingdom, the United States or Türkiye. Personal data is stored and processed without leaving the relevant region, so the solution is inherently aligned with regulations such as GDPR and KVKK. Institutions that prefer can run it on their own systems under an on-prem license.
Data Centers
EU · UK · USA · Türkiye — data stays in the region you choose.
Security Frameworks
Information Security Framework, Data Privacy & Independent Audits, Data Retention & Destruction, Business Continuity.
KVKK & GDPR
GDPR Compliance, Local Data Residency, KVKK Commitment and Privacy Notice.
Certificates
Independently audited ISO/IEC 27001, 27701, 22301, 10002, 9001 and BS 10012.
Business users build it — no IT dependency
Next4biz CSM is a completely no-code platform (except for integrations). Visual design editors let business users customize workflows, forms, scripts and templates. With minimal training, staff who can document their work can design or modify processes — changes show up in the product immediately.
Category Tree
Define categories and subcategories; assign responsible groups, workflows and forms.
Workflows, SLAs & Escalations
Design category-specific workflows with no-code editors; define SLA targets and escalations.
Forms
Design category-specific interfaces — forms, data fields and form rules.
Business Rules
Define if/then rules for routing, approvals, notifications and triggers.
Agent Scenarios
Guide agents through structured, consistent, category-specific interactions.
Guided Bot Scenarios
Resolve frequent requests through menus; route free-text requests outside the menus to an LLM bot, or to a live agent when needed.
Message Templates
Ready-to-use email and chat templates so teams respond with consistent language.
Reporting & Analytics
Track volume, SLA compliance and team performance; spot improvement opportunities.
Connected to your core, without touching no-code flexibility
Next4biz exposes APIs and webhooks for programmatic data exchange (reference docs at developers.next4biz.com), with native pre-configured connectors, and broker support such as Apache Kafka and RabbitMQ for decoupled architectures. An internal inventory layer stores integrated data so your no-code customization stays independent of integration concerns. For savings finance companies, this means contract, payment plan and delivery queue data reaching the request screen from core systems.
Next4biz supports bi-directional data exchange both for custom applications and for third-party systems where pre-configured connectors are unavailable. It uses an internal repository — an "inventory" — to store and process integrated customer and other relevant data. This inventory is the foundation for all interfaces, business rules, checklists and other objects used in omnichannel communication and resolution workflows. Integrations are activated as needed, always interacting through these inventory layers, so the no-code architecture and flexibility remain unaffected by potential integration issues.
Communication Channels
Native omnichannel connectivity for live chat, WhatsApp, email, call centers, social media, review platforms and marketplaces.
SSO, LDAP & Provisioning
SSO (SAML 2.0 / OAuth2 / OpenID Connect), LDAP/Active Directory, optional SCIM provisioning for user & group sync.
Core Systems
Bi-directional REST APIs & webhooks. Sync customers, accounts, transactions, requests, policies and orders for live context.
Embeddable Components
Embed reusable iFrame/JS components (self-service, notifications, chat) into your portals and apps — quickly and securely.
BI & Analytics
BI integration: ready-to-use APIs for Power BI, Tableau and Qlik.
Mobile & Web SDKs
SDKs and ready UI components for in-app self-service and chat — the same experience across web and mobile.
What Our Customers Say
Next4biz also fully aligns with our information security rules.
With Next4biz, we can quickly comply with BDDK's regulations and easily prepare the required reports. Next4biz also fully aligns with our information security rules.
We can quickly determine the actions that need to be taken
We can easily measure the numbers in the arrival channels of tickets, solution times, solution percentages, whether they were processed on time, and which topics came most. Thanks to this measurement, we can quickly determine the actions that need to be taken.
With Next4biz, we can see all of a customer's tickets connected to each other.
With Next4biz, we can see all of a customer's tickets connected to each other. It's gratifying that we receive positive feedback about our response speed.
Frequently Asked Questions About Complaint and Request Management for Savings Finance
How delivery date questions move through workflows, how withdrawal and termination refunds are tracked, payments not showing, working with sales offices and processes by group type.
How does a delivery date question move forward in savings finance?
The request opens the Delivery Date Dispute form, so the contract, savings period status and contractual delivery month are collected up front. Customer Service checks the payments, Fund Management reviews the delivery queue and the sales office schedules the appraisal. Every step has its own SLA; if one is breached, the case escalates with full context to the team lead, then to the director. Workflow example →
How are withdrawal and termination refunds tracked?
Withdrawal and termination requests open in their own categories, and the request date, refund amount and customer account details are collected in the form. Refund steps move between the responsible teams through a workflow, and statutory deadlines are tracked as SLAs. The responsible team is alerted as a deadline approaches, and the customer is informed at every stage on their preferred channel. Compliance-ready reporting →
What happens when a customer’s installment payment is not showing?
The ticket lands in the Payment Not Showing category, and details such as payment date, amount and receipt are requested up front. The request goes to the team that checks payment records; if the issue affects the delivery queue, fund management joins the same record. The customer hears the outcome in the same channel, and recurring cases show up in root-cause reports.
How do sales offices, head office and sellers work on the same request?
Sales offices, head-office teams and, when needed, the home or vehicle seller take on tasks in the same ticket. Every step has an owner, a deadline and a checklist, and every action is recorded with its date. Whichever channel the customer writes from, the agent sees the full history on one screen and does not ask the customer the same questions again.
Can separate processes be set up for groups with and without draws?
Yes. Category trees, forms and workflows can be set up separately by group type with no-code editors: groups with and without draws, and home, vehicle and workplace contracts each open their own form and workflow. Business teams make these changes themselves without depending on IT, and agents and reports use the same terms. No-code customization →