What is the typical ROI on warehouse robotics?

Based on FlyWei's audited deployments across nine industry verticals, the median payback period is 14 months. Specific outcomes vary by operation type: a UK top-five 3PL achieved 3× warehouse throughput, while a Tier-1 automotive supplier reduced JIS picking errors by 98%. Efficiency improvements of 50% manpower reduction and 200% throughput uplift have been recorded across FMCG, manufacturing, and battery gigafactory environments. ROI modelling is provided free as part of FlyWei's pre-sales site survey.

How long does a full deployment take from survey to go-live?

A standard FlyWei deployment follows a four-phase methodology — Discover, Simulate, Deploy, Audit — and takes 8–14 weeks from initial site survey to production go-live. The Simulate phase uses digital twin modelling to validate robot count, routing, and throughput projections before any hardware is installed. Larger deployments with multiple warehouse zones or bespoke WMS integrations typically run 14–20 weeks. FlyWei provides a feasibility brief with robot count, indicative cost, and expected payback within 5 working days of the site visit.

Which industries does FlyWei Robotics serve?

FlyWei deploys autonomous robots across nine industry verticals: automotive, 3C (consumer electronics), communications and telecom, industrial components, consumables and FMCG, energy and battery gigafactories, logistics and 3PL, manufacturing, and textile. The UK client base includes third-party logistics operators (3PLs), Tier-1 and Tier-2 automotive suppliers, contract manufacturers, and gigafactory operators. All case studies are independently audited by customer operations teams.

What pick accuracy do autonomous robots achieve in practice?

FlyWei's fleet management platform M4 maintains a 99.9% pick accuracy rate across active deployments. This is achieved through ±10 mm positioning accuracy on all autonomous forklift models, SLAM navigation with real-time obstacle detection, and M4's task confirmation protocol, which validates each pick before marking it complete. For comparison, manual warehouse operations typically achieve 99.5–99.7% accuracy — the improvement translates to hundreds fewer errors per day at scale.

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FlyWei×SEER Robotics

Industry deep-dive

Textile

Multi-floor mills, garment despatch hubs and fast-fashion sortation — where the vertical-transport leg is almost always the constraint.

Case studies

Deployments shipped

12-18 mo

Typical payback

What we ship

Autonomous forklifts, AMRs and lifting robots tuned for textile workflows — co-engineered with SEER Robotics on the platform side, deployed by FlyWei on the operations side.

Typical engagement

Site survey through go-live in 8–14 weeks. Independent ROI audit at week 16. Customer outcomes anonymised at the customer's request — full briefs available under NDA.

What you get back

A one-page feasibility brief with robot count, indicative cost, expected payback and the closest comparable customer outcome — within five working days of first contact.

1 customer deployment

Audited outcomes from textile deployments

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Send us a one-line description of your operation. Within five working days we'll come back with a one-page feasibility brief tailored to your facility — robot count, indicative cost, expected payback, and the closest comparable textile customer outcome from our deployment library.

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Textile

Audited outcomes from textile deployments

SEER Robotics injects new vigor to Weiyi Holding in traditional textile industry

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Ready to be the next textile case study?