Complete AI Training
Sign inGet my AI kit

Your job's AI kit

Get your AI kit

Tell us who you are and what you do. We show you your kit right away and email you the link: skills, prompts, AI agents, MCP servers and courses for your job.

500+ jobs ready, and we make a kit for any other job. No payment needed to look.

Share

AI agent for e-commerce managers

Competitive Price Monitoring and Repricing Agent

Competitive prices that protect margin

DecisionsManagement
See how it worksGet access
Competitive Price Monitoring and Repricing Agent: what goes in, what the agent does and what you get

What it does

Online shoppers compare prices quickly, and competitor prices change daily. Each day this agent checks competitor prices for your key products and matches them by model and pack size, not just name. A competitor that is out of stock is ignored for price matching. It compares your price with the margin floor and recent sales. It suggests changes using your rules, such as staying within a set percent of the lowest competitor while never going below the floor. After a change, it watches sales and conversion for a set period. If sales do not respond as expected, it suggests reversing or adjusting the change. The ecommerce manager approves changes, or allows small moves within set limits.

How it works

Follow the arrows from top to bottom. The orange dashed arrow is the loop: when a check fails, the agent goes back and tries again.

Start and resultWhat it doesA check on its own workWaits for your OKGoes back and retries
ApprovedYes, continueNo 1 STARTS WHEN Daily price check 2 USES A TOOL Collect competitor prices and stock status 3 DOES Match identical products by model and pack size 4 DOES Suggest prices within rules and margin floor 5 YOU APPROVE Manager approves changes above auto limits 6 USES A TOOL Watch sales and conversion after changes 7 CHECKS THE RESULT Did sales respond as expected within a week? If not: suggest reversing or adjusting the price. Backto step 4. 8 RESULT Price change log
Read the steps as a list
  1. Daily price check
  2. Collect competitor prices and stock status
  3. Match identical products by model and pack size
  4. Suggest prices within rules and margin floor
  5. Manager approves changes above auto limitsThe agent waits here for your OK.
  6. Watch sales and conversion after changes
  7. Did sales respond as expected within a week?If not: suggest reversing or adjusting the price. Back to step 4.
  8. Price change log

How it decides

It matches identical products and suggests prices within your rules, never below the margin floor.

  • Never below margin floor
  • Ignore out-of-stock competitors
  • Auto changes only within 3%

Make it yours

Every agent is a starting point. You choose these settings for your own situation.

  • Margin floor per category
  • Auto change limit
  • Competitors tracked
  • Pricing rules

What keeps you in control

It always asks you first

  • Changes above auto limits

Hard limits

  • Never below margin floor
  • Never changes prices outside rules

It stops when

  • Done: daily run finished
  • Stop: price data source fails

Set it up

We guide you through the set-up, step by step

Members get the full set-up guide for this agent. No technical skills needed: you copy, paste and upload.

10 minto set it up in your AI
5 AIsChatGPT, Claude, Copilot, Gemini, Grok
  • One set of instructions to paste into your AI, with the clicks for ChatGPT, Claude, Microsoft 365 Copilot, Gemini and Grok
  • The agent then walks you through connecting your own data, one source at a time
  • A downloadable copy with the flow chart, the rules and the full guide
Get access to this agent

An example run

What happensA competitor cut a blender from 89 to 79 dollars. The agent suggested 82, above the 78 floor, and the manager approved. After a week the response check failed: units sold were flat and conversion held at 3.1%. The agent concluded the cut was not needed and suggested 86. The manager approved, and margin recovered without losing sales.

More agents for e-commerce managers

Communication · Automation

Campaign Asset Approval Chase Agent

Every campaign asset is approved before launch, or a fallback is ready.

9 steps1 check4 jobs
Analysis · Decisions

Customer Segment Profitability Review Agent

A clear view of the margin by segment and options to fix the negative ones.

10 steps1 check4 jobs
Decisions · Executives and strategy

Pricing and Packaging Review Agent

A recommendation that shows the effect of each pricing option on revenue and current customers.

10 steps2 checks11 jobs
Analysis · Reporting

Competitor Review Sentiment Mining Agent

Rank competitor weaknesses and strengths by feature, using tagging that has passed a quality check.

11 steps2 checks13 jobs