Founders' Note: Why We Built Nash AI
Today, we’re introducing Nash AI, an AI Logistics Agent designed to transform delivery operations.
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At Nash, we’re working alongside some of the largest retailers in the world, managing millions of deliveries across fleets, zip codes, and delivery conditions. Through this journey, one thing has become clear: while customer expectations for delivery speed and reliability continue to rise, the cost of meeting those expectations is holding businesses back.
Every day, dispatchers manually reallocate drivers to handle missed stops or traffic delays. Customer support teams answer the same delivery-related questions over and over, while finance teams painstakingly reconcile invoices and process refunds manually. These inefficiencies don’t just slow down operations—they’re unsustainable for businesses trying to scale profitably.
The stakes are high. Customers expect faster, more reliable deliveries, but rising operational costs—like support tickets and manual processes—make it harder than ever to compete.
That’s why today, we’re introducing Nash AI, an AI logisitcs Agent designed to transform delivery operations. By automating dispatch, streamlining customer support, and optimizing financial reconciliation, Nash AI helps businesses scale smarter while cutting costs.
How We Got Here
When we founded Nash, we set out to solve logistics’ hardest problems.
We started by addressing fragmented logistics workflows—helping merchants seamlessly manage multiple delivery workflows like on-demand, scheduled, and shipping across internal fleets and third-party providers. Then, we tackled disconnected tech stacks, unifying systems for ordering, dispatch, tracking, and reconciliation into one seamless platform, allowing merchants to offer intelligent delivery promise at check-out.
But solving fragmentation wasn’t enough. As we worked with merchants, it became clear that high operational costs were the real bottleneck:
- Dispatch teams are drowning in disruptions, from demand spikes, to driver-no shows and customer rescheduling.
- Support agents are overwhelmed by repetitive delivery inquiries, which accounted for 80% of tickets at many retailers.
- Finance teams are stuck processing payments and refunds manually, introducing costly delays and errors.
Merchants don’t just need better tools—they need complete systems in order to scale and manage logistics reliably.
The Future of Scaling Logistics
AI excels at analyzing real-time data and adapting instantly to operational changes, making it uniquely capable of managing the complexity of modern logistics. With the recent advancements in technology, it’s possible to customize the behavior for every merchant.
And it is getting better every day.
What truly sets Nash AI apart is its foundation: it’s built on the insights and context gained from orchestrating hundreds of millions of real-world deliveries. This data gives Nash AI unmatched precision and adaptability, enabling it to automate tasks that were previously impossible to scale.
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Here’s why that data layer makes Nash AI different:
- Complete Context: Nash AI integrates merchant data (inventory, store hours, unit economics), provider data (fleet capacity, costs, reliability), and customer data (delivery preferences and communication touchpoints). Every decision is made with the full picture in mind.
- Real-Time Adaptability: Whether it’s rerouting a driver mid-delivery or reallocating resources during a demand surge, Nash AI dynamically responds to disruptions instantly, keeping operations running smoothly.
- Scalable Precision: Nash AI automates thousands of tasks, from dispatching to reconciling invoices, reducing errors, cutting costs, and helping merchants scale with ease.
- Customizable: From e-commerce to multinational brands, Nash AI’s flexible configuration makes it easy to tailor workflows, ensuring each merchant’s unique operational needs are met.
This isn’t just smarter automation—it’s infrastructure designed for merchants who want to grow profitably in a complex, high-demand logistics world.
How Nash AI Works
The merchant starts by defining their desired workflow from existing operational experience to create the end customer experience they desire. As orders get orchestrated through Nash, the Nash AI agent runs through these workflows and follows the instructions provided.
Here are the main use cases we're solving today with Nash AI:
1. Intelligent Dispatching
Dispatch teams struggle to manage fleets efficiently when things go wrong. Nash AI fixes this by:
- Dynamically rerouting drivers to minimize delays and maximize fleet utilization.
- Allocating resources in real time to handle surging demand or capacity gaps.
- Proactively notifying customers with accurate ETAs and delivery updates, building trust and reducing inquiries.
2. Proactive Customer Support
Support teams spend too much time answering repetitive delivery questions. Nash AI fixes this by:
- Automating 80% of repetitive tasks like ETAs, rescheduling, cancellations, and refunds.
- Proactively sending customers updates on delays or delivery confirmations.
- Freeing up support agents to focus on more complex, high-value interactions.
3. Automated Financial Reconciliation
Finance teams often face delays and errors with manual reconciliation. Nash AI streamlines this process by:
- Automatically validating invoices, reconciling payments, and flagging discrepancies for review.
- Reducing costly human errors.
- Ensuring accurate financial reporting, even as delivery volumes grow.
Real Results from Nash AI
Nash AI is already delivering measurable results for merchants:
- 90% reduction in address related delivery failures
- 80% Automation of Support Tasks: Proactive communication reduces inquiry volumes and costs.
- 34% Improvement in Fleet Utilization: Optimized resources maximize efficiency across fleets.
With Nash AI, merchants are finally able to scale smarter while meeting rising customer expectations.
The Future of AI Logistics Is Here
We are building Nash AI to power over 100 workflows for our customers, helping them achieve 100x output. By automating and orchestrating end-to-end logistics—from last-mile delivery to supply chain management—Nash AI is taking on the complexities so businesses can scale smarter. There’s much more to come, and we’re excited to continue pushing the boundaries of what’s possible in logistics.
Learn more: usenash.com/nash-ai