Web App
Disney: Planet Love
Raising awareness and improving our relationship with the planet through an interactive web experience.
01
The starting point
Globales had a classic growing-pains problem: their field sales team and their procurement team were working from different information.
Sales knew what was moving. Procurement ordered on their own timeline. The two never really connected, so the company kept running out of the things customers wanted, while the data that could have predicted it sat unused in the sales team's world.
It wasn't a forecasting failure. It was a wiring failure.
02
Where the work was actually breaking down?
The gap was between two teams that should have been in sync and weren't. Sales data lived in one place, procurement decisions in another, with a manual, delayed handoff in between:
Sales data, siloed
What was moving in the field never made it to the people ordering inventory.
Procurement, on its own clock
Orders went out on a fixed schedule, not on what the data actually signaled.
A manual handoff
The connection between the two teams depended on someone noticing and passing it along.
Too late by the time it was noticed
Orders went out slowly, shelves went empty, and sales were lost to stockouts the data had already predicted.
It wasn't a forecasting failure. It was a wiring failure — the right information never reached the people making the buying decisions in time.
03
What Singular built
We built an AI-powered CRM that finally connected sales and procurement into one system.
Predicts inventory needs — From real sales trends, instead of guessing or reacting too late.
Triggers procurement orders automatically — The moment the data signals a need, the order moves — no manual handoff.
Keeps sales and buying in sync — One source of truth both teams work from.
We built the interface, the workflow, and the data underneath it as one connected system, not three parts bolted together.
That's what keeps it clear for the teams using it and dependable for the people who run it.
Evidence
What it produced
40% fewer stockouts
The AI caught inventory needs before shelves went empty.
Faster sales cycle
With the right stock on hand and procurement moving automatically, deals closed quicker.
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