Pricing Strategy is an analytics agent that reads your Account and the products in a grid, queries your real transactional data over a chosen historical timeframe, and generates a pricing-strategy presentation as a Gamma deck. The output is an editable, shareable narrative - portfolio overview, category roles, pricing pressure, and proposed moves - grounded in your actual data, not a templated demo.Documentation Index
Fetch the complete documentation index at: https://docs.retailgrid.io/llms.txt
Use this file to discover all available pages before exploring further.
When to use Pricing Strategy
Reach for Pricing Strategy when you need a stakeholder-facing narrative on top of your portfolio:- Quarterly business reviews and board decks.
- Opening conversations with retailers - explain where the pricing levers are before you propose specific changes.
- Cross-functional alignment - give Merchandising, Finance, and Leadership a shared picture of how the portfolio is priced today.
- Pre-sales storytelling - turn raw data into a recognisable strategy frame in minutes.
Run Pricing Strategy
In any grid:- Click Agents in the top toolbar.
- Switch to the Analytics Agents tab in the All Agents modal.
- Select Pricing Strategy.
- Pick a Timeframe (see the ladder below).
- Click Run.
Choose a timeframe
Pricing Strategy supports seven timeframes. Pick the one that matches the audience and the question you’re answering:| Timeframe | Good for |
|---|---|
| Last 7 days | Reacting to a recent promo or competitor move. |
| Last 30 days | Monthly category review. |
| Last 90 days | Quarter-in-progress check, supplier conversations. |
| Quarter-to-date (QTD) | Mid-quarter steering. |
| Year-to-date (YTD) | Mid-year and full-year executive reviews. |
| Trailing 12 months (T12M) | Annual planning, removes seasonality artifacts at the boundaries. |
| Custom | Pick exact start and end dates - useful for promo windows or pre/post comparisons. |
What the agent reads
No manual configuration is required beyond picking a timeframe. Pricing Strategy automatically pulls:- Company name - from your Account / Organization. Appears on the deck cover and throughout the narrative. Set it before running if your Organization is freshly provisioned.
- Products and attributes - the grid you ran the agent from (categories, prices, costs, custom attributes).
- Transactional data - real sales over the chosen timeframe, queried directly from the analytics warehouse. No placeholder numbers; if a category has no transactions in the window, it shows as zero rather than a synthesized value.
Output
When the run completes, the Runs detail view shows a link to open the deck in Gamma. The deck is a complete strategy narrative covering:- Portfolio overview (catalog size, revenue, average price, margin band).
- Category roles (Traffic Builders, Profit Drivers, Niche, Promo - inferred from price elasticity proxies and contribution).
- Pricing pressure (where competitor or margin signals suggest the most movement is needed).
- Proposed strategic moves with expected directional impact.
Common pitfalls
- Empty timeframe - if there are no transactions in the chosen window, the deck is sparse. Pick a wider window or confirm your transactional data has loaded.
- Account name unset - the deck cover and narrative will reference a default placeholder. Set the company name on the Organization page first.
- Very small product set - the category-role analysis needs enough SKUs per category to be meaningful. Decks generated against fewer than ~20 products tend to read more like a per-SKU summary than a strategy.