Performance

Run tighter every week.

Turn tribal knowledge into measured, repeatable operations. Per-station, per-operator analytics. Continuous, not quarterly.

Your best operator's knowledge walks out the door when they leave.

You know some stations are faster than others. You know some shifts have more errors. You know new hires take too long to ramp. But you can't quantify any of it, because no system captures what physically happens at the station.

WMS data tells you orders shipped. It doesn't tell you cycle time per station. It doesn't tell you idle time between orders. It doesn't tell you which operator follows the SOP and which one improvises. It doesn't tell you why one station packs 40 orders/hour and the next packs 25.

Your operational intelligence lives in the heads of your best supervisors. When they're not on the floor, or when they leave, the knowledge goes with them.

The breakthrough

13 days to 2 days.

Brilliant Fulfillment reduced new hire ramp-up from 13 days to 2 days. Context-driven work instructions gave every operator the knowledge of the best supervisor, from day one.

How Rabot Solves It

Continuous performance data at every station. Every shift. Every operator.

Per-station, per-operator analytics

Throughput, cycle time, accuracy, idle time, and activity breakdown: by station, by operator, by shift, by client. Drill down from warehouse-wide trends to a single order.

Context-aware work instructions

Rabot Pulse delivers client-specific, order-specific SOPs to operators at the station. No binders. No supervisor dependency. The right instruction at the right moment, because the system knows which order is being packed.

New hire ramp-up in days, not weeks

Instead of shadowing an experienced packer for two weeks, new hires follow step-by-step visual work instructions from their first order. Brilliant Fulfillment cut ramp-up from 13 days to 2.

Bottleneck identification and capacity optimization

Per-station activity data reveals where time is wasted: idle time between orders, excessive dunnage time, stations waiting on exceptions. DaVinci reduced average processing time 30% by seeing what WMS data couldn't show.

Customer story

DaVinci Micro Fulfillment cut processing time 30% across 6 locations.

DaVinci operates 6 fulfillment centers. Processing time was too slow, but nobody could pinpoint why. Exception rates were high with no root-cause visibility. WMS reports showed what shipped, not where time was lost.

After deploying Rabot, per-station activity data revealed exactly where time was wasted. Station-level data showed what digital reports couldn't: the why behind the numbers. Exception rates dropped from 7.5% to 2%. Capacity utilization improved across all 6 locations.

30%

Average processing time decrease

7.5% to 2%

Exception rate reduction

6

Locations with optimized capacity

Read the full case study
"With Rabot, we're able to monitor every order being packed and enable us to easily swap packers to handle any client order with the help of Rabot's digital work instructions."

Richard Hurley

CEO, Highline Commerce

More Performance Results

Measured. Optimized. Repeated.

Staci Americas

33% across 19 stations

Productivity increase

Staci Americas

69%

Pack speed improvement

Brilliant Fulfillment

13 days to 2 days

New hire ramp-up

Staci Americas

60%

QA & support cost reduction

See your first week of station data.

Install in one day. No WMS changes required. Start measuring what actually happens at every station from day one.

Rabot

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