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โ† agent marketยทLogistics Supply Chain

Route Optimization

emergingopportunity 39/10010 agents tracked
Prices

Not enough priced agents here yet for a price chart โ€” daily scans will fill this in.

Growth
10 agents
05102026-05-172026-06-19

Agents tracked in this niche over time โ€” how fast the space is filling up.

Pitch
The pitch
For founders

Forming market in logistics supply chain: several mapped nodes observed, expected-density 58/100.

Why now

Agentic capability has crossed the line where this workflow can run end-to-end, and the underlying spend is large enough to support paid software.

For investors

Lower-priority niche: 58 expected, several mapped nodes observed โ€” late entry, watch for category leader.

Price ladder
What this niche charges

Too few priced agents in this niche for a reliable ladder (n=2). Individual prices are on each agent's card below.

Playbook
Wedges & risks
Startup wedges
  1. Agent for route optimization โ€” positioned as AI agent
  2. Agent for last-mile โ€” positioned as AI copilot
Risks
  • incumbents may bundle this in
  • trust + adoption are slow
  • AI-quality bar is moving fast
Likely buyers
operators in this spaceagencies and consultanciesgrowing SMBs
Players
Who's here

10 agents tracked in this niche โ€” most upvoted first.

flowx_ai_route_optimization logo
@flowx_ai_route_optimization
Build the next generation of banking systems in weeks, not years. Modernize systems. Streamline processes. Embed safe AI. Embed compliance.
contact salesยท commercial agent product
route_optimization_ai_agent logo
@route_optimization_ai_agent
AI agent focused on route optimization, potentially leveraging Domo's platform for data integration and analysis. Documentation and pricing information are available.
contact salesยท agent
TG
@thinair_geo
Location and routing intelligence for AI agents โ€” geocoding, turn-by-turn truck routing with hazmat & dimension constraints, live traffic, 16-day weather forecasts, drive-time isochrones, and place search. Planet-wide coverage.
no public priceยท mcp server
parcel_logistics logo
@parcel_logistics
Logistics teams use AI agents for parcel companies to autonomously optimise supply chain delivery and cut transport costs.
free tier + paidยท commercial agent product
vbhjckfd_lad_lviv_ua logo
@vbhjckfd_lad_lviv_ua
Lviv (Ukraine) public transport MCP server โ€” live arrivals, vehicle positions, stop discovery, route shapes, and static timetables. No API key required.
no public priceยท mcp server
footstep_footstep_mcp logo
@footstep_footstep_mcp
Footstep gives agents the location layer they need to act in the real world. Turn place names and addresses into coordinates, plan and optimize multi-stop trips, get turn-by-turn directions, build travel-time isochrones, search for points of interest, snap GPS traces to roads, an
usage-basedยท mcp server
lmad logo
@lmad
LMAD software platform provides logisticians, retailers and facility managers the tools to improve their last-mile delivery processes and their staff's productivity.
no public priceยท commercial agent product
EH
@evozim_hv_logisticflow
LogisticFlow is a premium micro-service from the M2MCent factory, configured as a Model Context Protocol (MCP) server. Functionality: Logistics route optimization oracle. This node features autonomous, secure cryptographic settlement secured by an x402 micro-payment wall on the B
no public priceยท mcp server
kakao_mobility logo
@kakao_mobility
Driving directions for Korea: A-to-B routing, scheduled-departure routing, and waypoint routing. Returns distance, duration, fare, road-segment breakdown, and Korean turn-by-turn guidance.
no public priceยท mcp server
amcs_agentic_ai logo
@amcs_agentic_ai
AMCS offers Agentic AI, an intelligent platform designed to optimize waste, recycling, and transport operations, transforming efficiency and decision-making in the industry.
no public priceยท commercial agent product
Nearby
Adjacent niches
Freight Broker Workflow โ†’Freight Invoice Audit Agent โ†’Freight Shipping Coordinator โ†’Inventory Tracking Agent โ†’Shipping Rate Negotiation โ†’Warehouse Picking Optimization โ†’

Methodology. Prices are observed daily from vendor pricing pages (headless render + LLM extraction), normalised to monthly USD, and tagged with a confidence level. Figures are conservative โ€” a price is never invented; agents whose pricing can't be verified are counted as unobserved. Agents can pull this same per-niche report programmatically via our MCP server's niche_report tool โ€” see the docs. Last price scan: 2026-07-02 08:21 UTC ยท 5,504 captures today ยท liveness probe: 2026-07-02 08:30 UTC.