Function · Customer Service & After-Sales
Rich data. Low political power.
Organisational truth.
For Customer Service Directors, order desk leads, After-Sales and Warranty teams in B2B manufacturing and distribution. You hear the complaints Sales never mentions, see the defects R&D has not acknowledged, and absorb the late orders Operations has classified as resolved. WizEmp builds the reporting that makes that intelligence visible to the people who can act on it.
We Speak Your Language
Customer Service is drowning in data and starved of standing.
Every order change, every customer hold, every complaint and every warranty claim is logged. The ERP holds the order book. The claims register holds the 8D history. The CRM and a shared inbox hold the rest. Customer Service is never short of data. What it is short of is the connection between that data and the rest of the business. The intelligence stays in the service system and does not reach Quality, R&D, Sales, or Operations in the form they can use.
In manufacturing specifically, warranty and after-sales data is a goldmine of product quality intelligence. A spike in warranty claims for a specific component, a specific model year, or a specific production batch is an early warning signal that the Quality team is not yet seeing. Most companies have this data. Almost none have it connected to the production data that would make it actionable.
WizEmp treats Customer Service as the organisational truth-teller. The reporting we build does two things at once: it gives the CS team operational visibility (late and blocked orders, open claims, claim age), and it surfaces the cross-functional patterns (warranty clusters, complaint themes, root-cause signals) that other functions need to act on. The first builds the operational case. The second builds the political weight the function has been short of.
Vocabulary that matches your role
Order Desk
Open order book, late lines, blocked orders, customer holds, requested vs. quoted lead time, OTIF, backlog value
Complaints & Claims
8D stage, containment, claim open age, days to close, established vs. unknown root cause, reopened claims, escalation
Customer Economics
Cost to serve, customer profitability, lost customers, complaint themes by account, supplier recovery
After-Sales & Warranty
Warranty claim rate, warranty cost as % of revenue, claims by build month, repeat failure rate, recall coordination
How Wit Interviews You
Wit's CS interviews are the reality check on every other function's claims.
When CS is not the primary sponsor, the CS interview is still essential. The plant manager says the quality issue is resolved; the claims register shows the same complaint last week. The sales team says the customer is happy; the after-sales log shows three escalations. Wit treats CS as the organisational reality check, not the back office.
Wit interviews CS with empathy. The work is hard and underappreciated. The first probe validates the experience before extracting the data: when a customer says they have called three times about the same issue, can you verify that from your system, and do you trust the data. The answer tells WizEmp how much rework the existing service infrastructure is silently absorbing.
The intelligence-sharing probe is the diagnostic for cross-functional dysfunction: when you see a pattern in customer complaints, say, the same product issue coming up repeatedly, how does that information get to the people who can fix it. The honest answer is usually that it does not, or that it travels through one email per quarter to a manager who escalates it to a meeting that never resolves it. Wit makes the pattern structural and surfaces it through the architecture.
The output is the CS section of the Shield of Truth: the operational reporting CS needs to defend their resource case, the cross-functional intelligence flows that must be built (warranty to quality, complaints to product, churn signals to sales), and the political map of who needs to see what so the data converts into decisions. The CS team finally has a structured channel for the truth they have been telling all along.
What Your Reports Look Like
The CS Cockpit: operational view for the team. Intelligence flows for the rest of the organisation.
Built to do two jobs at once. The CS Director gets the operational view: late and blocked orders, open claims against the 8D clock, claim age. Sales gets the lost-customer flag. Quality gets claims by build month. R&D gets the established root causes. Each downstream function gets the slice of CS intelligence that converts into a decision they own.
Power BI Cockpit · Customer Service Configuration
Your CS Cockpit. Operational pulse, plus the intelligence flows out.
This Cockpit is what we build in your engagement, from your data. Worked examples on generated data are on the example reports page.
Order Desk
Complaints & Claims
Cost to Serve
Service Operations
Warranty Intelligence
Cross-Function Signals
"The most valuable Customer Service report is the one nobody in Customer Service reads. It is the claims-by-build-month view that lands on the Quality Director's desk, the lost-customer flag that reaches Sales before the next order is missed, the root cause that gets to R&D in time to change the next release."
Industries We Serve for Customer Service
Same function. Different service contract by sector.
In Automotive, the goldmine is warranty data feeding back to Quality and R&D. In Food & Agribusiness, it is complaint themes and recall coordination with retailers. In Logistics, it is service exceptions and delivery-failure root cause. In Financial Services, complaint handling carries regulatory weight and demands fair-treatment evidence.
Automotive
Warranty claim rate, repeat failure by model year, dealer service performance, recall coordination, customer complaint themes.
See Automotive Customer Service → Cluster B · Regulate & ComplyFinancial Services
Complaint handling (regulatory), fair treatment evidence, vulnerability identification, dispute resolution timing.
See Financial Services Customer Service → Cluster A · Make & MoveFood & Agribusiness
Consumer complaint themes, product recall coordination, retailer service-level performance, food safety incident response.
See Food & Agribusiness Customer Service → Cluster A · Make & MoveLogistics
Service exception tracking, claims processing, customer service-level performance, delivery-failure root cause.
See Logistics Customer Service →Start Here
Bring the claim Quality has not seen. Bring the late order Sales has not heard about.
The first conversation takes 30 minutes. Bring the customer pattern you have been flagging without traction, the cross-functional handoff that breaks every quarter, or the resource case you need data to defend. Wit will surface the intelligence flows that turn service data into organisational consequence.
Reveal the Hidden. Automate the Mundane. Own the Intelligence.