“14% of driver time is lost in the last 2% of the journey.”
/public/img/hero.jpg and wire it as the
background.
The brain has two modes for finding things. We've been forcing the slow one.
Sequential reading
Letter by letter, word by word. ~250ms per word, single-threaded. Worse in dim light, in a second language, with cluttered fonts. This is what every thermal shipping label asks of a courier.
Parallel pattern recognition
The pre-attentive visual system processes the entire field at once — colour, shape, orientation. ~200ms total, regardless of how many items are in view. It doesn't care what language the courier reads in.
Find the matching parcel. Try it in glyphs, then in text.
Same task, same answer set, same number of cards. The only thing that changes is how the parcel is labelled. Names and addresses are Singapore-flavoured on purpose — Grab's courier base reads in many languages, and the shipping label rarely matches the one they're fastest in.
Aggregate from live trials: image matching ~1.5–2.0s (σ ~0.7s) vs text matching ~6.5–8.0s (σ ~3.5–5s). ~4× faster, ~5× lower variance.
[ scatter plot embed — TBD next pass ]
Saver batching turned every pickup into a sortation task.
[ TBD: Saver = 42% of food orders, 60% batched. GrabMart multi-bag pickups stack at the counter. SEA linguistic diversity: Bahasa, Tamil, Mandarin, Malay, English on the same order slip. ]
Pickups per day, by service line.
[ TBD: GrabFood ~3.5M, GrabMart ~500k, GrabExpress ~500k, Saver multi-pickup events ~840k. FY2025 Deliveries GMV $13.9B, +21% YoY. ]
No new hardware. One glyph added to the existing order slip.
[ TBD: merchant IM device thermal printer, existing Grab Driver app, single SVG glyph slot added to the existing order-slip template. Grab owns every layer. ]
What 15 seconds per pickup is worth.
[ TBD: sliders for seconds_saved + fleet size. Throughput unlock = seconds_saved / 900. Group-annualised GMV capacity = $13.9B × throughput_unlock. EBITDA = ×2.2%. ]
Jaya Grocer Singapore. 4 weeks. 100 drivers. 2 stores.
[ TBD: A/B vs control, success metrics, timeline. The wedge: Grab owns the merchant, the IM device firmware, and the Grab Driver app. The pilot is a fully internal change — Anthony can approve it in the room. ]
Read the full proposal →The same trick works for Shopper.
[ TBD: brief — Shopper is Grab's in-app picking list for retail employees walking grocery aisles. Pre-attentive labels on shelf SKUs are the obvious next product once the pickup-counter pilot proves out. One slide, no over-development. ]
30 minutes with the GrabMart ops team.
[ TBD: contact CTA, calendar link. ]