Intelligent Logistics

Improve On-Time and In-Full Delivery and Reduce Logistics Costs

Cut planning time and miles by up to 50%. Reduce transport cost, raise OTIF, and keep plants and docks flowing.

Intelligent Logistics

Cut Planning Time in Half. Eliminate Empty Miles and Routing Waste.

We deliver intelligent forecasting, inventory optimization, container and loading optimization, route optimization, warehouse layout and operator navigation, and supplier risk monitoring. Secure operations technology integration and explainable recommendations included.

Trusted by

Bednar Logo
Magna Logo

Adastra’s optimization engine helped us set the vehicle sequence on the production line to ensure smooth production at a volume of roughly 1,400 vehicles per day. As a result, in the paint shop we reduced thinner consumption by 35% for the primer coat and by 12% for the top coat, which amounts to annual savings of 12.5 million CZK.

Heider Artur

Production Planning Specialist, Hyundai Motor Manufacturing

Magna Logo

In our paint shop and on the injection molding machines, we handle more than 40 production constraints, such as mold changes or the availability of packaging materials. It’s impossible to manage these conditions manually in Excel. We will complete the pilot optimization project at the end of this year. We already know the results will allow us to significantly streamline planning and minimize downtime.

Chyška Michal

IT Manager, Magna

Bednar Logo

We were looking for a tool that could recalculate the plan based on what’s happening in production. In the end, we chose Adastra’s solution—the optimization tool OptiSuite. Thanks to it, we increased performance without increasing capacity and expect benefits of up to €10 million over five years.

Jan Slavík

IT Director, Bednar FMT

The Problem We Solve

  • Poor forecasting creates overstocking or stockouts.

  • Inefficient parts placement increases carrying cost and delays.
  • Weak container loading wastes space and raises shipping cost.
  • Manual route planning causes high transport cost and late deliveries.
  • Limited supplier visibility increases environmental, social, and governance risk and compliance exposure.
  • Warehouse layout and navigation slows picking and increases incidents.
  • Reverse logistics is slow and costly, with low value recovery.
  • Data is fragmented across systems such as SAP, Oracle, and manufacturing execution systems, delaying decisions.

What We Deliver

  • Plans that respect real constraints (changeovers, labor, maintenance windows), fewer stockouts, and no downtime during rollout.
  • Safe integration with manufacturing execution systems, warehouse management systems, transportation management systems, and enterprise resource planning systems; industrial data protocols supported and change control with audit.

  • Faster, measurable return on investment, higher service levels, and lower transport cost, with a clear path to scale across sites.

What We Implement

Adastra’s Intelligent Optimization Platform and Generative Lakehouse

  • Demand forecasting by product and region
  • Scenario planning with explainable recommendations
  • Spatial analytics and sensor tracking integrated into the lakehouse

OptiSuite Optimization Engine

  • Inventory optimization across distribution centers
  • Container and freight utilization
  • Last‑mile and inter‑warehouse route optimization

Governance Framework

  • Supplier environmental, social, and governance monitoring and risk indicators
  • Regulatory compliance visibility

Ingestion Framework

  • Unified data from systems such as SAP, Oracle, and manufacturing execution systems
  • Enterprise‑wide visibility; reporting time reduced from days to hours

Get Optimized Routes and Operations Visibility. Fast.

Run a pilot focused on your highest‑value domains (e.g., transport, inventory, containers) and see reductions in miles, dwell, stockouts, and OTIF misses during the Prototype phase (4-6 weeks).

Why Adastra? Get It Right from the Start

Recognized by leading cloud providers for AI and data excellence. Multi‑cloud delivery (AWS, Azure, GCP) with cloud‑agnostic, portable architectures.

AWS Data and Analytics services -recognition badge by AWS.
25+

years delivering enterprise customer‑service solutions across data, analytics, and AI

2200+

professionals in 40+ countries and 20+ languages; proven track record operating production‑grade chatbots with governance and quality

Our Framework

1. Analysis
  • Analysis of existing processes – assessment  
  • Planning criteria audit 
  4 weeks

2. Prototype
  • Proof of concept in a minimum viable version 
4-6 weeks

3. Development & Customization
  • Development and customization of the application within the customer environment
6-12 weeks

4. Integration
  • Integration into the corporate environment 
6-12 weeks

Typical Outcomes 

Fewer stockouts and lower excess inventory; service levels improve
Warehouse space freed; working capital reduced
Annual savings above eight hundred thousand dollars through better container utilization; carbon dioxide emissions reduced by more than one hundred tons per year
Transport cost reduced and on‑time delivery improved
Picking efficiency increased by around fifteen percent; incidents reduced
Reporting time cut from days to hours

Ready to Optimize Logistics and Operations? 

Book a 45‑minute assessment to baseline your KPIs, confirm constraints, and map a 4-6 week Prototype pilot focused on your highest‑impact domain.

Success Stories

FAQ

Will operations be disrupted?

No. We run pilots and waves in parallel. Legacy planning stays live until new optimization passes user acceptance, KPI thresholds, and performance gates. Cutovers are scheduled for off‑peak windows. 

Yes. Models incorporate driver hours, shift rules, dock capacity, vehicle types, time windows, traffic/weather, multi‑stop runs, inter‑warehouse transfers, pick‑path and slotting rules, multi‑echelon inventory, supplier lead times, and returns. Exceptions trigger automatic re‑planning. 

You will see measurable improvements during the Prototype pilot in 4–6 weeks (e.g., miles, dwell, OTIF, stockouts, pick efficiency, load factor). Broader rollouts follow the Development & Customization (6–12 weeks) and Integration (6–12 weeks) phases. 

We connect via APIs/ETL to ERP, WMS, TMS, GPS/telematics, and IoT signals. On‑prem or cloud deployment options are available with secure, role‑based access, audit trails, and encryption. 

We provide planner/dispatcher UX, mobile integrations, training, and change management. Explainable recommendations and clear “why this plan/route/slot” logic build trust and reduce manual overrides. 

Yes. The platform includes audit trails, role‑based permissions, encryption, and monitoring, aligned to your security standards. 

We baseline cost per drop, miles per stop, load factor, OTIF, dwell, carrying cost, pick rate, and container utilization during Analysis, then compare Prototype and rollout improvements. A decommission plan retires redundant tools and quantifies savings. 

Let’s Talk Intelligent Logistics!

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