Product Overview

A quick look at the GLYNT.AI solution

Audit-Ready Sustainability Data

Prepared for ISSA 5000 and other audit standards

Sustainability Data Layer

Works with the software and AI you already use

Approval Workflows for Sustainability Data

Four-Eyes review for audit compliance

Finance-Grade Sustainability Data

The same rigor as financial data

Integrate with Financial Data

Reconcile against your financial ledger

AI-Ready Sustainability Data

See what’s missing or flagged before deadlines

Powered by Green AI

Built for low energy use and emissions

Best Practices for Sustainability Data Management

Manage data instead of wrangling it

Enterprise Security

Privacy, security, and controls

Sustainability Data Accuracy

We test your data so you don’t have to

Comprehensive File Capture

Extract data from scans, portals, and messy formats

Customized Reporting

See what’s missing or flagged before deadlines

Audits & Assurance

Traceable data, approval workflows with SOC compliance

Business Value Add

Customize output files for CSRD, IFSR, CBAM, UKSRS

Energy Data Management

Granular data for transparency and cost reductions

Waste Data Management

Pull files from everywhere, send data to anywhere

Scope 3 & PCFs

Stop chasing suppliers, move to finance-grade quality

Blog

What’s new with GLYNT

Customer Stories

Industry applications for GLYNT solutions

Guides

GLYNT’s expertise and thought leadership

The Smart Home is Not the Sum of Its Devices

by | Feb 1, 2017

It’s easy for the smart home to go overboard with devices. There seems to be no cap on the number, with one smart hub vendor announcing their product can handle up to 1,000 devices! But adding more devices does not meet the key consumer challenge, expectations. When a consumer has used Uber, Airbnb and Amazon, they have little patience for anything but a smooth experience.

Researchers have defined the phrase, Liquid Expectations, for this phenomena, when consumers transfer their sense of what should happen from one digital experience to another: “If I can get a ride, and pay for it seamlessly, with Uber, why is it that when I use smart home devices – which are supposed to save me money – I don’t know the answer and my utility bill arrives weeks later?”(1)

Too often smart home energy solutions speak to consumers in units without context (eg kWh, run times, leafs) and with a long delay between usage and reporting. The most frequent consumer-utility interaction is when the resident studies the monthly bill and then pays it. Sadly this is about 3 to 4 weeks after the energy has been used. Not quite the Uber experience…

Here are three ways the smart home can meet the challenge of Liquid Expectations:

  1. Meet the consumer where they are. It is safe to assume that more consumers buy smart home devices than review detailed usage data on their utility’s website. So bring the data to the consumer, to the device app! Integrate total utility bill cost into savings and controls for smart lights and smart thermostats.
  2. Instant personalization and insights. To keep engagement high, set expectations from the start: Our app is where you get instant answers, updated regularly, about your home energy use, your smart home devices and your utility bills. Capture interest when it is high, keep it fresh to maintain engagement.
  3. Meaningful numbers. You have probably noticed that we keep referring to utility bills. Well consumers do too. Why not transfer an existing moment of engagement, studying their utility bill each month, to your smart home product? There will be more interest in that $20 change in the utility bill than in a 14% reduction in furnace runtimes. Speak to the consumer with meaningful content in the language they understand.

 


(1) Liquid Expectations is an expression introduced by the Fjord design group at Accenture. For more info see https://www.fjordnet.com and http://www.slideshare.net/fjordnet/the-love-index.