LOGISTICS PLANNING SOLUTION OVERVIEW
Predictive Insights for
Sustainable Cost Efficiencies
With uncertainties gripping the demand-supply dynamics in the logistics industry, companies have to transform their game plan. Continuous optimization of warehouse strategies, labour processes and fleet management is the only way to achieve sustainable, all-round efficiencies across the supply chain.
ThroughPut helps logistics planners & managers with AI-driven actionable insights to analyze routes, carriers and load efficiencies.
Enhanced Real-time visibility across transportation, warehouses & inventory
Demand-driven logistics planning to reduce logistics costs & carbon emissions
Connected warehouse management to optimize distribution & inventory levels
Clients Who Trust Us
Thomas Deakins
SVP, Global Partnerships & Alliances | project44
With ThroughPut, we empower our customers to not just optimize their logistics, but their supply chain operations as a whole. ThroughPut’s demand-first, AI-powered, predictive approach to supply chain management is the key to solving the product and customer prioritization puzzle that all businesses seek to solve on an everyday basis these days as they look to expedite lead times and better serve their customers.
Why Do Businesses Need Logistics Planning Solution?
Single View of All Shipments
Compare Multiple Shipments And Period Volumes Easily
Challenge | Manage overlapping shipment cycles over a staggered period of time. |
Solution | Compare received, delivered and sold aggregate volumes by route and shipment type to understand impact of fulfillment orders. |
600x
Faster insights for improved Lead Times.
~2x
Improvement through Inventory Turns
SKU Optimization
Review Impact Of Logistics Performance On OTIF
Challenge | End-to-end SKU analysis across multiple channels. |
Solution | Holistic SKU flow all the way from supplier through distribution networks to stores to analyze the impact of sales and contribution to indirect logistics cost. |
13.5%
Increase in Performance Improvement Yield Margin
6%
Working Capital Reduction Opportunities
Improved OTIFs with Reduced Carbon Emissions
Visually Depict The Flow Of A Particular SKU Or A Cluster Of Selected SKUs
Challenge | Siloed material flow views across the distribution network. |
Solution | Accelerate shipping of the right goods at the right time, while minimizing runtime costs and risks. Using a combination of business rule mapping and ML-based pattern extraction, predict ETAs and achieve a high rate of OTIFs. |
~16M
Throughput Saving per year
~20%
More capacity in Production Operations
CASE STUDY
Leading Cement Manufacturer Reduces Logistics Costs by 20% with Demand-driven Logistics Planning & SKU Optimization
1M+
SKUs Optimized
17.8%
Reduction in Trucking Costs
278,000
Tonnes of excess annual inventory relieved
Logistics Planning Software
Features
Supply Chain Network Optimization with Dynamic Lead Times 
- Examine material flows overlaid on geo maps and identify choke points across their supply chain networks
- Accurately generate customized forecasts for demand, near-term OTIF potential, and product mix optimization to maximize profit margins and other factors
- AI-powered analysis, predictions and recommendations by route and shipment type of received, delivered and sold aggregate volumes.
Actionable Insights to Prioritize OTIF Deliveries
- Review the impact of logistics performance on OTIF fulfillment of orders and associated logistics spend
- Visualize performance against a business’s unique priority KPI’s such as lead-time-to-customer vs. product expiry thresholds, product criticality
- Prioritize orders and customers by demand and order-value for improved profitability
Adopt a Data-Driven Approach to Analyze Logistics Flow
- Quickly view and assess the flow of a particular SKU or a cluster of selected SKUs all the way from supplier through the distribution network to stores.
- Easily expose tactical opportunities for improvement with assessment of the bottom-line benefits associated with each opportunity
- Optimize material movement to dynamically prioritize Items based on logistics costs and lost sales opportunities.