Kelmia Pulse Success Story: B2B Distribution · FMCG

From chasing incidents
to eliminating recurring ones.

A major B2B distributor of fast-moving consumer goods was managing hundreds of monthly incidents reactively—without a ticketing system, without integration with the ERP, and without visibility into patterns. With Kelmia Pulse, after analyzing 929 tickets, daily peaks of 28–30 incidents turned into a sustained downward trend, recurring incidents were reduced by 40%, and customer satisfaction reached 91%. And it began delivering something to its customers that almost no other distributor can offer.

−40%
Recurring incidents
Those recurring due to the same structural cause — eliminated
91%
Customer satisfaction
49 out of 54 positive reviews — measured in the ticketing system
929
Tickets handled
During the period analyzed — with a clear downward daily trend
Sustained trend
From peaks of 28–30 tickets/day to a stable, downward trend

The context

Hundreds of incidents per month.
Always playing catch-up.

A major B2B distributor of consumer goods—a supplier to professional cleaning companies with thousands of delivery centers—deals with incidents on a daily basis. It’s the nature of the business: high volume, demanding customers, a complex supply chain.

The problem wasn’t having incidents. The problem was managing them without structural visibility. Each incident was resolved individually—and the pattern behind a hundred seemingly distinct incidents was never seen. The team was putting out fires. The same fires, week after week.

Without cross-referenced data, without systematic analysis, it was impossible to know what caused what. There were only hunches. And hunches don’t generate action plans.

The Client
Industry: B2B Distribution · FMCG
Main Clients Professional cleaning companies
Volume of Incidents Hundreds per month
Data sources Ticketing + ERP
Solution implemented Kelmia Pulse

The Process

Three phases to move
from reacting to preventing.

The project didn’t start with AI. It started by bringing order to the chaos. Without quality data, analysis isn’t possible—and without analysis, there are no action plans. AI came into play once there was something to analyze.

Phase 1
Structure

Implement the ticketing system.

The first step was to structure the incident process with a ticketing system. Before, incidents came in via email, phone, and WhatsApp—unclassified, untraceable, and without data. The ticketing system turned chaos into data. Without this step, everything that followed would have been impossible.

Phase 2
Analysis

Cross-reference ticketing with operational data from the ERP.

With Kelmia Pulse, ticketing data was cross-referenced with operational variables from the ERP: days between order receipt and delivery, merchandise value, customer type, geographic area. Cross-referencing both sources made the invisible visible: which types of incidents were concentrated under what conditions and which causes were structural—not random.

Phase 3
Action

Action plans addressing root causes.

With the patterns identified, Kelmia Pulse generated concrete action plans: process changes, correction of protocols that were not being followed, and actions addressing specific causes. No more guesswork—data, causes, and actions. Each plan included KPIs for tracking and progress measured week by week.

The finding

Stockouts.
The cause that no one had quantified.

The analysis identified stockouts as the main cause of delay incidents. It was a suspicion the team had—but it had never been measured, cross-referenced with delivery data, or linked to its actual impact on the customer experience.

With the pattern quantified, it was possible to act on the cause—not the symptom. And that completely changed the kind of conversation the distributor could have internally and with its customers.

Example of a pattern detected by Kelmia Pulse
Incident Type
Delivery delay
The category with the highest volume
Identified cause
Stockout at source
Cross-referenced with ERP inventory data
Action plan
Automatic replacement process
Currently under development with Kelmia Products
Cross-referenced variable
Days from order to delivery
From the ERP — not from ticketing
Previous visibility
None — it was a hunch
Without cross-referenced data, impossible to quantify
Current visibility
Measured, tracked, reported
With week-by-week trends

It wasn’t a new problem. It was a pattern that had always been there—invisible because no one had cross-referenced the data.

The results

A sustained trend.
Not a one-off result.

The improvement wasn’t immediate—and that’s what makes it credible and sustainable. The first results came when the initial action plans began to be implemented. Data from the ticketing system shows the actual trend: peaks of 28–30 tickets per day in the first few months, a stable and downward trend in the following months, with a cumulative satisfaction rate of 91%.

Initial peaks
28–30
Daily tickets on the worst days. High volatility. The team was putting out fires without knowing what was causing them.
Current trend
<20
Average daily tickets over the last few months. Stabilized and downward trend. Structural patterns already identified and corrected.
Recurring Incidents
−40%
Those recurring due to the same structural cause. Eliminated through action plans addressing the root cause of the problem.

The unexpected difference

The client report.
Something almost no distributor can offer.

Reducing incidents was the goal. But the most valuable commercial outcome was something else: the ability to provide each client with a monthly report detailing their incidents, the identified causes, and the actions taken to prevent them from recurring.

From distributor to operations partner.

What most do.

Manage incidents as they arise. Resolve them as quickly as possible. Close the ticket. The customer knows there was an incident. They don’t know why it happened or if it will happen again. The relationship is reactive—the distributor responds, not anticipates.

What Kelmia Pulse enables.

Provide the customer with a monthly report detailing their classified incidents, identified causes, and the actions taken to resolve them. The customer sees that someone is actively working to ensure the problems do not recur. That is not incident management—it is operational transparency. And it is a selling point for contract renewals and new bids that very few distributors can offer.

Few distribution companies can sit down with a customer and say: "Here is this month’s report—these were the incidents, these were the causes, and this is what we’ve done to prevent them from happening again."

The system evolves

Identifying the cause
is only the first step.

Kelmia Pulse identified stockouts as the main cause of delays. The next logical step isn’t just to manage stockouts better—it’s to anticipate them and resolve them before they cause an incident.

Currently in development: Kelmia Products.

We’re working with this distributor to implement a system that, when a stockout occurs, automatically suggests a substitute product with similar characteristics—and does so almost automatically, with the sales rep reviewing and approving the suggestion in seconds.

This is the pattern of how Kelmia evolves with clients: each module identifies a problem, and the next module addresses its cause. The system learns and becomes more autonomous over time.

See Kelmia Products →

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