Optimisation

Shippit Optimisation is designed to help retailers make smarter, data‑driven decisions about their shipping strategy. By analysing delivery performance, cost patterns, and carrier behaviour, it provides machine‑learning‑powered recommendations that refine the carrier mix and streamline operations. The tool enables real‑time scenario modelling, store‑level optimisation, and predictive cost insights, empowering businesses to reduce freight spend, boost delivery performance, and better align shipping operations with customer expectations.

Features

• Machine‑learning‑powered analysis of historical shipping data.
• Tailored carrier mix recommendations based on cost, speed, and performance.
• Real‑time cost and performance projections for shipping scenarios.
• Store‑level optimisation tools for multi‑location retail operations.
• Instant carrier mix adjustments via an integrated optimisation dashboard.
• Granular insights into order destinations, service levels, and parcel characteristics.

Capabilities

• Running simulations to compare carrier performance and cost outcomes.
• Identifying savings opportunities by evaluating alternative carrier combinations.
• Predicting delivery performance under different operating conditions.
• Supporting multi‑store networks with location‑specific recommendations.
• Integrating optimisation into fulfilment workflows for continuous improvement.

Benefits

• Reduced shipping costs through data‑backed optimisation insights.
• Improved delivery reliability by choosing carriers proven to meet performance expectations.
• Greater operational efficiency through automated, intelligent shipping decisions.
• Faster strategic decision‑making supported by clear, actionable analytics.
• Enhanced customer satisfaction from more consistent and predictable delivery outcomes.
• Stronger negotiating position with carriers thanks to detailed performance data.