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Solution Database / Operations

Fresh Route Coordinator

Farmers harvest without knowing who will buy and waste resources driving half empty trucks. A fully automated coordination layer that turns a logistics business into a self-running morning routine.

OperationsOperationsRetailOperational coordination portal

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Demo screen of Fresh Route Coordinator
Opportunity6Good
Problem6Real pain
Feasibility9Very manageable
Why now8Strong timing
💰 Investment$5,500 MVP$16,500 for the full product
🛠️ Build effort0/1010 days of creation time, MVP in 2 days
⚙️ Running costs$390–$770/moat about 50 customers
🧠 Right for you?Check your fitTen questions, instant answer

01The offer

For market gardeners, turn daily harvest photos and local demand into a live delivery route and sold inventory, and the problem it addresses. The value hypothesis is a zero-waste logistics layer that runs automatically each morning; the pilot must establish whether that benefit is real.

For
Market gardeners with a van
Takes in
Daily harvest photographs and crop varieties
Delivers
Live catalogue, delivery route sheet and sold inventory list
Message
Turn your morning harvest into a sold inventory before the truck leaves.
Lead magnet
A free demonstration of the morning route generation.

02How it works

  1. Identify crop and grade via photo
  2. Set dynamic pricing based on freshness
  3. Cluster orders by neighbourhood
  4. Generate shortest delivery loop
  5. Handle voice reorders and substitutions
  6. Print or speak route instructions

Workflow

Capture harvest, identify and price items, view live orders, generate route, pack by stop, and deliver. Start with daily harvest photos and finish with a completed delivery route and sold inventory.

AI and people

Use computer vision to recognise and grade produce from photos. Use routing algorithms to optimise collection and drop off loops. Use voice agents to handle customer reorders and substitutions. A farmer confirms the harvest grade and pricing before the route is generated.

Screens

Key screens: Harvest capture, live catalogue, route planner. Use a camera interface for crop identification, a grid view for neighbourhood orders, and a map view for the delivery loop. Display real time inventory levels and order status. In this product, the first view is harvest capture, followed by live catalogue and route planner.

Admin

Farmer accounts, order history, route versions, approval states, inventory audit trail and delivery status tracking.

03Market gap

Alternatives buyers use today

Wholesale markets, grocery stores and manual WhatsApp coordination groups.

Where this wins

Network effects between farms and the density of local delivery routes.

04Why now

Operations teams are adopting AI for exactly this kind of repeatable work, and the cost of language and vision models has dropped far enough that a narrow, reviewed workflow pays back quickly. The buyer already feels the problem: farmers harvest without knowing who will buy and waste resources driving half empty trucks.

05Proof & signals

Channels where buyers gather: Local community groups and neighbourhood social media pages.. Metrics that prove it works: Percentage of harvest sold and reduction in transport costs..

Paid pilot

Run a pilot with one market gardener to prove zero waste and increased revenue compared to wholesale prices.

06Execution plan

MVP

One market gardener, one neighbourhood, thirty households invited via local group. The farmer photographs six crop types each morning. A single retrieval augmented generation agent writes the catalogue, confirms orders, and prints a route sheet. No app to install. No inventory dashboard. Just a photo, a list, and a drive.

First 30 days

Week 1: Set up one farm account and invite thirty households. Week 2: Test the vision model on six crop types. Week 3: Refine pricing and routing logic. Week 4: Analyse waste reduction and order volume.

After the pilot

Route density increases and neighbouring farms join the standby network to ensure catalogue fullness.

Retention

Repeat orders from households and route density growth.

Integrations

Local Facebook groups for household invitations and basic payment gateways.

07Investment and running costs

PhaseScopeTimeBudget
MVPOne buyer segment, one recurring use case. Manual review in the loop.2 days$5,500
Paid pilotAccounts, roles, review states, audit trail and the first integration, hardened for two to three paying pilot customers.3 days$4,500
Full productSelf-serve onboarding, billing, monitoring and the wider integration set.5 days$6,500
Total$16,500
RunningHostingAI usageTotal a month
MVP and paid pilot (about 3 customers)$30–$60$40–$90$70–$150
Full product (about 50 customers)$110–$210$280–$560$390–$770

Revenue model to test

Test a 15 percent commission on each sale.

Cost drivers

Compute costs for vision and routing models and the standby network of partner farms.

Safeguards

Delivery radius limits, substitution approval rules and grade rejection thresholds.

Take it further

Solution blueprint, rewritten from an earlier Nexibeo concept. Demand, pricing, build scope and integrations are working assumptions, not verified market findings. The MVP and the paid pilot exist to confirm them for your business before the larger build.