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Smart appliances:
35% higher aftermarket sales

We built a predictive IoT pipeline for connected cleaning appliances that tells owners when parts need replacing, plus a conversational AI agent for 24/7 troubleshooting.

Industry: Manufacturing & EnergyService: AI & Automation

Higher aftermarket sales
35%
AI troubleshooting
24/7
Part replacement prompts
Predictive

Overview

Project
at a glance

Business
Home cleaning appliance manufacturerA brand selling connected robotic vacuums and smart cleaning appliances.
Partnership
AI product developmentWe built the IoT data pipeline, the parts prediction and the conversational support agent.
Goal
Understand real product useUse device data to help owners keep appliances working and answer questions at any hour.
What we built
Predictive IoT pipeline and AI support agentUsage analytics that trigger part replacement prompts, plus 24/7 AI troubleshooting.

Client

Who we
built it for

Bissell

Home cleaning appliance manufacturer

Manufacturing & Energy
About the client
A brand selling connected robotic vacuums and smart cleaning appliances.
What they needed
Use device data to help owners keep appliances working and answer questions at any hour.
Where they were
Connected appliances produced usage data, but it was not used to tell owners when filters and brushes were worn.

Engagement snapshot

Industry
Manufacturing & Energy
Service
AI & Automation
Engagement
AI product development
Delivered
Predictive IoT pipeline and AI support agent
Headline result
35% · Higher aftermarket sales

The challenge

What was getting
in the way

Connected appliances produced usage data, but it was not used to tell owners when filters and brushes were worn.

Owners also needed help with troubleshooting at any time of day, and hardware faults had to reach human support quickly.

  • Unused device data

    Usage metrics were collected but not acted on.

  • Worn parts

    Owners kept using filters and brushes past their best.

  • Support hours

    Troubleshooting questions arrived around the clock.

The solution

What
we built

  1. 01

    Collects usage data

    A cloud pipeline ingests usage metrics from connected robotic vacuums.

    Input
    Device usage
    Platform
    Cloud pipeline
    Devices
    Smart appliances
  2. 02

    Predicts part replacements

    An AI insights engine predicts when parts need replacing and sends reorder prompts to the owner's app.

    Model
    Predictive AI
    Output
    Reorder prompts
    Channel
    Mobile app
  3. 03

    Answers support questions

    A conversational AI agent handles troubleshooting 24/7 and escalates hardware issues to people.

    Hours
    24/7
    Agent
    Conversational AI
    Escalation
    Human support

Key features

What made it
useful

  • IOT ANALYTICS

    Sees how products are used

    A cloud pipeline turns usage data from smart vacuums into product insights.

    Business impact

    Clear view of real-world use

  • PREDICTIVE PARTS

    Reorders at the right time

    AI predicts when filters or brushes need replacing and prompts the owner's app.

    Business impact

    35% higher aftermarket sales

  • AI SUPPORT AGENT

    Help at any hour

    A conversational AI agent answers troubleshooting questions and escalates hardware issues to people.

    Business impact

    24/7 troubleshooting support

Before and after

How the work
changed

Parts

Before

Replaced too late

Owners did not know when parts were worn.

After

Prompted on time

The app suggests replacements when they are due.

Support

Before

Office hours

Questions waited for the support team.

After

24/7 AI agent

Troubleshooting is answered any time.

Product insight

Before

Limited view

Real-world use was hard to see.

After

Clear usage data

The team understands how products are used.

Results

The business
difference

  1. REVENUE

    35% Higher Aftermarket Sales

    More parts sold

    Automated part replacement prompts boosted aftermarket sales by 35%.

    Before: Missed ReordersAfter: Timely Prompts

  2. SATISFACTION

    Improved Satisfaction

    Happier customers

    Owners get timely prompts and help at any hour, improving satisfaction.

    Before: Reactive SupportAfter: Proactive Care

  3. INSIGHT

    Clear Product Insight

    Real usage data

    The team understands exactly how products are used.

    Before: Limited ViewAfter: Usage Analytics

Testimonial

What the client
says

“Connecting our smart devices to this AI pipeline allowed us to understand exactly how our products are used. Triggering automated part replacements has boosted our aftermarket sales by 35% and drastically improved customer satisfaction.”
Eric BuehlerDirector of Electronics, Bissell

Key results

  • 35% higher aftermarket sales
  • 24/7 troubleshooting support
  • Improved customer satisfaction

Trust and control

How we kept it
safe and reliable

  • 01

    Human escalation

    Hardware issues are passed to human support.

    HUMAN IN CONTROL
  • 02

    Owner control

    Reorder prompts are suggestions the owner chooses to act on.

    OPT-IN
  • 03

    Logged conversations

    Support interactions are recorded for quality review.

    TRACEABLE
  • 04

    Adjustable models

    Wear predictions can be tuned per product.

    ADAPTABLE

Faster delivery

Built on tested foundations

Building on tested components let the team focus on each product's parts and common issues.

  • Device data pipeline

    Tested components handled data from connected appliances.

  • Prediction models

    A reusable forecasting setup was tuned to part wear.

  • App notifications

    Ready-made messaging sent personalised prompts.

  • Support agent

    A tested conversational framework handled troubleshooting.

FAQ

Straight
answers

Have a different question? Ask it on a 30-minute call.

Book a call

We built a predictive IoT data pipeline and an AI customer service agent for connected smart home appliances. Usage data from robotic vacuums drives automated part replacement prompts in the owner's mobile app, and a conversational AI agent handles troubleshooting around the clock, escalating hardware issues to people.

Turn device data into happier customers

If your connected products collect data you don't use, we can build AI that helps owners and grows aftermarket sales.