Arianti Silvia
Back to work

Stemly

Redesigning a supply chain forecasting platform

Stemly uses machine learning to help supply chain and finance teams forecast and plan. We replaced a dated enterprise tool with one that people find easy to use.

B2BWeb AppSupply Chain
Company stage
Early Stage
Industry
Supply Chain
Business model
B2B
Platform
Web
Location
Singapore
Timeline
Jul to Sep 2021 (3 months)
Product DesignUser ResearchUsability TestingProduct Management

A dated platform

Most enterprise tools in supply chain are old. They are hard to change, slow to react to what happens in the business, and their workflows are so complicated that people struggle to make decisions with them.

Old supply chain dashboards full of dense charts and tables

No shared picture

  • Different mental models: Everyone on the team pictured the product structure differently, and we used industry terms in different ways.
  • Complicated workflows: The data science steps behind each forecast were hard to simplify without losing what users needed.
Map of the Stemly platform: workspaces, applications, solution modules and platform modules

What we did

Three things helped most:

  • Fast prototypes: We could change a design the same day, after an internal review or a call with a client.
  • A shared glossary: We wrote down the industry terms we used, so everyone meant the same thing.
  • Readable charts and tables: We spent the most time on the data views, so people could see what the numbers meant and what to do next.
Stemly design system pages with colours, type and components

Result

The new platform did better than the old systems it replaced.

22%

More accurate forecasts than the old systems

40%

Less time spent on each design round

30%

Faster launch than we first planned

45%

Fewer clicks for users

35%

Higher user satisfaction

25%

More productive, as reported by clients