Winmore · AI-Powered Forecasting Platform

Better forecasts lead to better logistics decisions.

I designed an AI-powered forecasting platform that helps freight forwarders predict shipment demand, plan operational capacity, and improve forecast accuracy through one connected planning experience.

Project Details

Role Senior UX DesignerScope End-to-End Product DesignTimeline 3–4 MonthsDomain Enterprise SaaS · Logistics · AI Forecasting

The Business Context

Forecasting isn't about predicting numbers. It's about planning operations.

Freight forwarders rely on accurate demand forecasts before committing transportation capacity, warehouse resources, and operational planning. Every forecast influences how shipments move across the supply chain.

Plan with confidence.

Forecast demand before committing transportation capacity and operational resources.

Reduce costly uncertainty.

Avoid capacity shortages, shipment delays, unused resources, and unnecessary operational costs.

Continuously improve forecasting.

Compare forecasted demand with actual shipments to refine planning and improve future forecast accuracy.

A poor forecast doesn't just affect reporting—it creates costly operational consequences.

Why forecasting matters

Every forecast shapes operational success.

Accurate forecasts help logistics teams reserve the right capacity, avoid costly delays, prevent unused resources, and keep shipments moving efficiently.

Designing the Experience

Designing the Product Foundation.

After mapping the forecasting workflow, I focused on translating complex planning tasks into a connected product experience. Every decision aimed to improve visibility, reduce manual effort, and help planners make confident operational decisions.

Product structure

How I organized the platform around the forecasting workflow.

Forecast Overview (KPIs)

Placed at the top so planners can quickly assess performance and spot changes.

Forecast Data Table

Made the primary workspace where most planning and updates happen.

Trend Analysis

Supports deeper analysis without leaving the context of the data.

Alerts

Kept visible alongside analytics to surface issues before they escalate.

AI Insights

Positioned at the bottom to inform decisions, not distract from them.

Design Focus

The principles that guided every design decision in this module.

Make planning glanceable

Surface the right metrics and trends so planners can understand at a glance.

Reduce back-and-forth

Bring planning, analytics, and alerts into one place to avoid context switching.

Highlight exceptions first

Help users focus on what needs attention, not search for it.

Support faster decisions

Design for clarity and confidence so planners can act without hesitation.

Layout Exploration

Explored multiple layouts before defining the final product experience.

EXPLORATION A

Chart prominent, alerts on the side.

↓

EXPLORATION B

Table focused for detailed planning.

↓

FINAL DIRECTION

Balanced layout with table + chart and alerts in view.

THE DESIGN OPPORTUNITY

Moving forecasting beyond spreadsheets.

Planning teams relied on spreadsheets to create forecasts, track shipment volumes, compare actual performance, and measure forecast accuracy. As data grew, the process became increasingly manual, fragmented, and difficult to scale. The opportunity was to transform this into a connected forecasting platform that supported faster planning and more informed operational decisions.

Drag to Compare

Before

Forecasting Concept – AllocationAI

View 1 – Weekly volume forecast per lane

Customer	FAK Terms	Loading Location	POL	POD	Unloading Location	Commodity	Contract Type	Carrier Required	Equipment
Customer ABC	FOB	Wuhan	Shanghai	Rotterdam	Venlo	Electronics	FAK	MSC	20ft
Customer ABC	FOB	Wuhan	Shanghai	Antwerpen	Brugge	Electronics	FAK	MSC	20ft
Customer ABC	FOB	Shenzhen	Shenzhen	Rotterdam	Rotterdam	Electronics	FAK	MSC	20ft
FAK	FOB	Shenzhen	Shenzhen	Rotterdam	Rotterdam	FAK	FAK	None	20ft


View 2 – Weekly overview of past performance + future plan, incl. actual bookings

Customer	FAK Terms	Loading Location	POL	POD	Unloading Location	Commodity	Contract Type	Carrier Required	Equipment
Customer ABC	FOB	Wuhan	Shanghai	Rotterdam	Venlo	Electronics	FAK	MSC	20ft
Customer ABC	FOB	Wuhan	Shanghai	Antwerpen	Brugge	Electronics	FAK	MSC	20ft
Customer ABC	FOB	Shenzhen	Shenzhen	Rotterdam	Rotterdam	Electronics	FAK	MSC	20ft
FAK	FOB	Shenzhen	Shenzhen	Rotterdam	Rotterdam	FAK	FAK	None	20ft

After

↔

Spreadsheet workflow vs. Winmore

VIEW

Final Solution

Bringing the Forecasting Platform to Life

The final solution is organized into four connected modules that mirror the way planners work—from getting a high-level view of forecasting health to creating forecast data, monitoring operational performance, and evaluating forecasting accuracy over time. Together, they create a unified experience that supports faster planning, clearer insights, and more confident decision-making.

Module 01 — Forecast Command Center

Forecast Command Center

This is where planners gain a high-level understanding of forecasting health before diving deeper into individual workflows. The dashboard consolidates key metrics, trends, alerts, and AI-generated insights into a single decision-making hub, enabling users to quickly identify issues and prioritize actions.

Module 02 — Managing Forecast Data

Managing Forecast Data

This module serves as the operational workspace for creating and maintaining forecast data. It enables planners to organize forecast inputs, apply seasonal adjustments, and manage shipment forecasts in a structured and scalable table experience.

Module 03 — Monitoring Operational Performance

Monitoring Operational Performance

Forecasts are only valuable when compared against real operational outcomes. This module helps planners evaluate forecast performance by comparing planned and booked volumes, making it easier to identify variances and investigate potential issues.

Module 04 — Measuring Forecast Accuracy

Measuring Forecast Accuracy

Improving forecast quality requires continuous evaluation. This module provides historical accuracy metrics and trend analysis, allowing planners to measure forecasting performance over time and identify opportunities for refinement.

Bhagyashree R.

Project Impact

Building a Connected Forecasting Experience

From disconnected spreadsheets to a unified forecasting platform that supports faster planning and better operational decisions.

Faster Planning

Unified forecasting workflow

Better Visibility

Forecast to performance

Smarter Decision

Data-driven planning

Higher Accuracy

Forecast vs Actual analysis

Good enterprise design does not remove complexity—it makes complexity easier to navigate.

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