How DoorDash uses OpenClaw AI sales agent to build local merchant pipelines

Disclaimer: The examples below are inspired by the types of workflows we support, but they do not reflect any specific customer’s internal strategy, plans, or playbook. We want to protect our customers, so everything here is for illustrative purposes only.

Quick Summary

• Company: DoorDash
• Use case: Turning monthly planning into prioritized merchant pipelines with enriched contacts
• Tool used: Openclaw for Sales by Openmart
• Workflow: Prospect → Enrich → Outreach in one platform
• Data source: 200M+ verified local business contacts, 300+ SMB categories
• Key outcome: Days of manual research replaced by a single workflow from market question to outreach-ready merchant list

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As local commerce platforms expand across more categories and regions, planning becomes more complex.

Teams need to understand where demand may be growing, which categories may be underserved, and which merchants are worth prioritizing. They often need that answer quickly, at a local or neighborhood level.

OpenClaw for Sales helps turn broad planning questions into market intelligence, ranked merchant lists, enriched contacts, and outreach-ready workflows.

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The challenge

Regional teams often start with the same question:

“Where should we focus next?”

Answering that requires looking across local business density, category coverage, public demand signals, merchant fit, and geographic concentration.

Doing this manually usually means pulling data from multiple tools, cleaning inconsistent sources, and spending hours or days on research before outreach can begin.

The harder problem is not finding merchants. It is finding the right merchants: businesses that may fill real market gaps, improve local coverage, and fit the category priorities for a given market.

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How DoorDash uses Openclaw for sales

1. From planning question to local market intelligence

Teams can start with a business question instead of a filter form.

OpenClaw translates that question into a structured market analysis. It can identify relevant geographies, target categories, local business density, and potential supply gaps.

Instead of returning raw data, it surfaces ranked priorities that help teams decide where to focus.

2. Ranking merchants by marketplace impact

Not every merchant has the same value for a local marketplace.

OpenClaw helps rank businesses using Openmart’s local business signals, such as category, estimated business size, online presence, review activity, location, and other public indicators.

The output is not just a lead list sorted by company size. It is a prioritized view of which merchants may be most relevant for a specific local market or category.

3. From merchant priorities to outreach

Once the right merchant segments are identified, OpenClaw helps turn the list into action.

It can enrich owner/operator contacts, segment accounts by likely pitch angle, and generate personalized outreach based on category, location, and business type.

Workflow summary (3 steps)

The outcome

Instead of spending days on manual research, local commerce teams can move from a broad market question to a prioritized merchant pipeline in one workflow.

Why Openclaw for local business outreach

Openclaw is Openmart's AI sales agent layer. It combines a database of 200M+ verified local business owner contacts with an AI workflow that automates prospecting, enrichment, and outreach in sequence.

The core difference from tools like Clay, Apollo, or ZoomInfo: those platforms are built for corporate B2B. Openclaw is built for local business owner data — verified contacts for independent restaurants, contractors, salons, and SMBs that don't appear in enterprise databases.

Learn more about Openclaw for Sales → | See all local business lead generation tools →