# Sentispec

> AI for Forwarding, Distribution and Warehousing. Sentispec deploys AI Agents that use cameras already in your operations to deliver real-time intelligence on fill rates, load quality, and stock accuracy — improving efficiency, reducing cost, and eliminating guesswork from logistics.

Sentispec is a Danish AI company (Aarhus, DK) serving global 3PLs, Fortune 500 manufacturers, automotive OEMs, and major retailers. Three products: Inspector (fill rate and load quality monitoring), Inventory (automated stocktaking), and Handler (dock and admin automation). Typical outcomes: 5–15% fill-rate improvement, 25–75% fewer damage claims, 30× faster stocktaking, 99%+ stock accuracy.

## About

- [About Sentispec](https://sentispec.ai/about/): Company mission, leadership, office location, contact channels.
- [Partners](https://sentispec.ai/partners/): Integration and delivery partners including NAV IT and Akkodis; public partnership with DHL Global Forwarding for AI-powered container intelligence.

## Solutions

- [Inspector — truck fill rate monitoring and load planning software](https://sentispec.ai/solutions/inspector/): Computer vision AI on trucks and containers measures fill rate, scores load quality, and tracks arrival/departure. Delivers 5–15% fill-rate gains and 25–75% fewer damage claims. Primary target for: load planning software, truck fill rate, fill rate monitoring, load optimization software.
- [Inventory — automated warehouse stocktaking](https://sentispec.ai/solutions/inventory/): Forklift-mounted cameras count pallets continuously at 3,000 units/hour — 30× faster than manual. Continuous cycle counting replaces annual shutdowns; 99%+ accuracy.
- [Handler — dock and admin automation](https://sentispec.ai/solutions/handler/): Automated gate-in/out, scanning and loading admin. Saves ~7 minutes per container and delivers ~6% warehouse productivity gain.

## Case Studies

- [S&P 500 Global Manufacturer (Inspector · Manufacturing)](https://sentispec.ai/case-studies/sp500-manufacturer/): A Fortune 500 manufacturer deployed Inspector to gain real-time visibility into container fill rates across their outbound logistics network — eliminating the guesswork from load planning and significantly reducing transport cost per unit.
- [Top 10 Global Automotive OEM (Inspector · Automotive)](https://sentispec.ai/case-studies/top10-automotive/): One of the world's largest automotive manufacturers used Inspector to monitor loading quality across inbound and outbound freight, driving a substantial reduction in transit damage claims and improving supplier compliance.
- [Global Wind Turbine Manufacturer (Inventory · Manufacturing)](https://sentispec.ai/case-studies/global-manufacturer-inventory/): A global wind turbine manufacturer replaced low-accuracy manual stocktaking with Sentispec Inventory, protecting production uptime where every lost minute costs thousands in equipment profitability.
- [Global Shipping & Logistics Company (Handler · Logistics)](https://sentispec.ai/case-studies/global-logistics-handler/): A global third-party logistics provider deployed Handler at key distribution hubs to eliminate manual admin and scanning on every container — saving 7 minutes per load and unlocking measurable warehouse productivity gains.
- [Global Retailer (Inventory · Retail)](https://sentispec.ai/case-studies/global-retailer-inventory/): A global shipping and logistics provider running warehousing and distribution for major Northern European retailers replaced labour-intensive manual stocktaking with Sentispec Inventory — scanning 100,000 pallets every month and pushing stock accuracy to 99.97%.
- [Top European Furniture Retailer (Inspector · Retail)](https://sentispec.ai/case-studies/european-furniture-retailer-inspector/): One of Europe's leading furniture retailers deployed Inspector across a high-frequency outbound logistics network — replacing historical-average trailer bookings with real m³/LDM load data and realising 5% transport cost savings with matching CO₂ reductions.

## Blog

- [Logistics at a crossroads: amplifying expertise with intelligent automation](https://sentispec.ai/blog/logistics-crossroads-amplify-expertise/): 2026-04-17. The logistics companies thriving today aren't just working harder — they're working smarter. Real-time visibility, proactive load quality monitoring, and intelligent automation amplify human expertise instead of replacing it.
- [Freight rates climb, trucks run empty — and the math doesn't add up](https://sentispec.ai/blog/freight-rates-up-trucks-half-empty/): 2026-04-16. Freight rates climbing 12% while trucks run 15% empty. Poor capacity planning is costing the industry billions — and real-time fill rate data is what changes the equation.
- [The $184B cost of supply chain visibility gaps](https://sentispec.ai/blog/184b-visibility-gap/): 2026-04-15. $184B in supply chain disruption costs in 2024. The biggest culprit is a lack of real-time visibility at loading docks — and the cameras are already there, waiting to be turned into intelligence.
- [The gap between theory and practice in supply chain optimisation](https://sentispec.ai/blog/gap-theory-practice-supply-chain/): 2026-02-23. Even the most sophisticated supply chain optimisation models are only as good as the data behind them. A 10% data inaccuracy can render results meaningless — making real-time visibility a prerequisite, not an afterthought.
- [The logistics industry is at a fascinating crossroads](https://sentispec.ai/blog/logistics-industry-fascinating-crossroads/): 2026-02-20. Four practical AI applications delivering measurable results today: real-time visibility over prediction models, dimensional accuracy reducing shipping costs by 18%, fast-but-simple over abandoned-complex, and human expertise amplifying AI effectiveness.
- [True value unlocks through process understanding](https://sentispec.ai/blog/value-unlocks-through-process-understanding/): 2026-02-20. The real unlocking of value comes from a deep, intimate understanding of the working process — not from technology alone. A reflection on Episode V of Ivan Markov's supply chain visibility series and what it means to truly understand how transport booking works.
- [Episode V – Return of the Data](https://sentispec.ai/blog/episode-5-return-of-the-data/): 2026-02-20. With the missing conversion ratio identified and automated data capture in place, a Nordic furniture retailer eliminated overbooking, reduced wasted transport capacity, and realised €1.3 million in annual savings — all without heroics or guesswork.
- [Sometimes the biggest wins come from solving the smallest inefficiencies](https://sentispec.ai/blog/biggest-wins-smallest-inefficiencies/): 2026-02-19. Seven minutes of manual admin per container doesn't sound like much — until you multiply it across hundreds of daily operations. A global logistics company achieved 6% warehouse productivity gains and increased shipping capacity without adding headcount.
- [Container optimisation: beyond 'fill and ship'](https://sentispec.ai/blog/container-optimisation-beyond-fill-and-ship/): 2026-02-19. 'Fill and ship' is no longer enough. Real-time visibility into what's actually in each container — versus what the manifest says — helps logistics leaders improve utilisation by 15–25% and reduce costly surprises at destination.
- [Episode IV – The Missing Piece](https://sentispec.ai/blog/episode-4-missing-piece/): 2026-02-19. After identifying where money was leaking, the team stopped analysing and started listening — discovering that a static, never-updated Conversion Ratio was the missing link between insight and €1.3M in realised savings.
- [Episode II – The Proof of Concept Strikes Back](https://sentispec.ai/blog/episode-2-proof-of-concept/): 2026-02-17. The Inspector solution captured real images of truck loads at a Nordic furniture retailer, revealing systematic overbooking and underutilised capacity. Just 200 data points pointed to €700K–€1.4M in potential annual savings.
- [Route planning: the art and science of modern logistics](https://sentispec.ai/blog/route-planning-art-and-science/): 2026-02-16. Route planning has evolved far beyond A-to-B navigation. Winning logistics companies blend algorithmic optimisation with real-time visibility and human expertise — achieving better service at lower costs across their entire supply chain.
- [Episode I – A New Approach](https://sentispec.ai/blog/episode-1-new-approach/): 2026-02-16. Every logistics transformation starts with challenging a belief. Approaching a Nordic furniture retailer not with a pitch deck but with curiosity, the team aligned on a single shared mission: only ground truth from the warehouse floor.
- [Cutting CO₂ through AI-driven trailer utilisation](https://sentispec.ai/blog/cutting-co2-ai-trailer-utilisation/): 2025-07-29. At DHL, cutting CO₂ isn't just a goal — it's a strategy. Our collaboration with Sentispec enables real-time monitoring to ensure trailers operate at full capacity, reducing wasted trips and environmental impact while maintaining service quality.
- [Smarter loading equals smarter logistics](https://sentispec.ai/blog/smarter-loading-smarter-logistics/): 2025-07-22. At DHL, we believe smarter loading equals smarter logistics. With Sentispec's load analysis, we're boosting container fill quality, cutting down on empty space and damage risk, and saving real money for our customers while delivering the same high level of service.
- [Sentispec and DHL: Unlocking AI-powered container intelligence](https://sentispec.ai/blog/sentispec-dhl-container-intelligence/): 2025-07-15. Sentispec and DHL have partnered to deploy an AI-powered solution for a global heavy equipment manufacturer — unlocking transparency, identifying hidden inefficiencies, and driving smarter logistics decisions through real-time container tracking.
- [How to scale predictable AI](https://sentispec.ai/blog/how-to-scale-predictable-ai/): 2024-01-23. The use of AI in logistics can be cumbersome to scale because of the need for extensive training and huge data loads. By prioritising only needed information and ignoring the rest, we can reduce a 10 MB problem into 0.5–1 MB — vastly reducing cost and increasing scalability.
- [The disappointment of autonomous AI](https://sentispec.ai/blog/disappointment-of-autonomous-ai/): 2022-12-13. An early exploration with ChatGPT, musing on why autonomous AI systems that promise full independence often disappoint in real-world logistics deployments — and how to design AI that delivers predictable, scalable results instead.
- [End-to-end supply chain visibility](https://sentispec.ai/blog/end-to-end-supply-chain-visibility/): 2022-09-06. End-to-end supply chain visibility is the ultimate goal in logistics — but RFID and scanning portals are too expensive to deploy everywhere. Computer vision offers a cost-effective alternative: leveraging cameras already on forklifts, gates, and smartphones to track goods from source to destination in real time.
- [Musings on human vs. computer vision](https://sentispec.ai/blog/musings-human-vs-computer-vision/): 2022-07-26. Human eyes excel not because of mechanical superiority, but because of the brain behind them. By strategically positioning cameras and processing visual data in real time, organisations can transform continuous observation into actionable business intelligence — at a fraction of the cost of manual monitoring.

## Partners

- [Partners overview](https://sentispec.ai/partners/): Integration and delivery partnerships including NAV IT (boutique SAP-led supply chain consulting firm with patented AI-driven solutions; integration and deployment partner for Inspector) and Akkodis (leading digital engineering consulting company; reseller and integrator of Inventory).
- [DHL Global Forwarding (public partnership)](https://sentispec.ai/blog/sentispec-dhl-container-intelligence/): AI-powered container intelligence for a global heavy-equipment manufacturer.

## Optional

- [Blog index](https://sentispec.ai/blog/): All posts in reverse chronological order.
- [Case studies index](https://sentispec.ai/case-studies/): All case studies.
- [Sitemap (XML)](https://sentispec.ai/sitemap.xml): Full URL list for crawlers.
- [llms-full.txt](https://sentispec.ai/llms-full.txt): Full article bodies and case-study content for ingestion.