Case Studies

Proven impact across logistics operations.

Logistics teams using Feuteuristix's container optimisation engine consistently reduce freight costs, improve capacity utilisation, and eliminate manual planning errors. These are real results from production deployments.

23%

Average freight cost reduction

86%

Avg container utilisation achieved

< 5 min

Planning time per shipment

local_shippingFMCG / Consumer Goods50,000+ MT outbound freight / year

23% reduction in container freight spend

Leading Global FMCG Manufacturer

23%Freight cost reduction

+19 ppContainer utilisation

2,000+SKUs optimised

The Problem

The company operated one of the world's largest outbound FMCG networks with over 2,000 SKUs across multiple container types (20ft, 40ft, 40HQ). Planners manually matched cargo to containers based on experience and rough CBM estimates. This consistently led to 60–70% utilisation — leaving 30–40% of every container empty while paying full freight rates. On high-volume lanes to the Middle East and South-East Asia, the cost leakage ran into millions monthly.

precision_manufacturingManufacturing / IndustrialMulti-plant, cross-border exports

18% higher container utilisation across 12 product lines

Diversified Industrial Conglomerate

+18 ppUtilisation improvement

−14%Freight cost per unit

~100%Planning errors eliminated

The Problem

Across 12 distinct product lines — ranging from heavy industrial components to lightweight finished goods — each plant maintained its own container planning process. Without a unified optimisation layer, containers were booked based on conservative estimates that left significant dead space. Mixed-product shipments (standard in multi-plant consolidation) were particularly problematic: planners had no reliable way to verify that different items packed together within weight limits.

warehouse3PL / Freight ForwardingMulti-city lanes, daily dispatch windows

22% faster outbound planning — 4 hours to 45 minutes

Regional 3PL Network, South Asia

−82%Planning time reduction

+22%Vehicle utilisation

−90%Dispatch SLA misses

The Problem

A regional 3PL managing dispatch across six cities ran a 4-hour morning planning window to consolidate client cargo into outbound trucks and containers. With dozens of clients shipping different cargo types daily, the planning team manually sorted consignments into loads — a process prone to errors, overtime, and SLA breaches when volumes spiked. The cost: missed dispatch windows, partial loads leaving the yard, and client penalties.

article

Deep Dive — Coming Soon

How we reduced freight costs for a Fortune 500 FMCG manufacturer

A full technical and operational case study: the algorithm design decisions, the data we analysed across thousands of historical shipments, the exact changes to container mix strategy, and the measurable savings achieved across multiple trade lanes. Including what didn't work, and why.

Get notified when published — email us or create a free account and we'll reach out directly.

Want results like these?

Start with 10 free simulations — no card required.

Try freearrow_forward Talk to us