Agentic Pricing

AI that proposes. You decide how much it acts on.

Full autopilot is irresponsible. Pure manual is too slow. Retailgrid's agentic pricing gives you configurable autonomy — full auto for low-risk SKUs, human-in-the-loop for sensitive categories, with the same audit trail across both.

Retailgrid Rules Based Pricing Config by AI dialog with a plain-English prompt — match min comp price for KVI, min margin 10%, price change limit, round prices — generating structured rules
What makes it agentic

Three capabilities that move pricing from manual to managed.

Not a model. Not a dashboard. A set of agents that read your data, propose actions, and execute against rules you set — with the level of autonomy you choose per category.

Agents that propose

The AI agent reads your portfolio and live signals — competitor moves, stock, margin drift — and proposes price changes ranked by margin impact. Every proposal shows its math.

See it in action

Rules that constrain

Plain-language rules set the guardrails: margin floors, MAP, competitor positions. Agents work inside the rules, never outside them. No black-box override.

See rules-based pricing

Autonomy you configure

Set autonomy per category: full auto on Tier 3 commodity SKUs, propose-and-approve on Tier 1 hero products, manual on regulated or strategic items. Change it whenever you want.

Explore the workspace
How configurable autonomy works

One pricing engine. Many speeds.

Tag every SKU with a role. The agent treats them accordingly.

Not every SKU deserves the same treatment. Retailgrid lets you classify SKUs into product roles — KVIs that get matched aggressively, Core items that hold margin, long-tail that follows simpler rules. The agent respects the role on every decision.
  • Per-SKU product roles: KVI, Core, Background, plus custom roles
  • Inherit role from category, override at the SKU level
  • Rules and autonomy settings layer on top of role automatically
Retailgrid grid showing Product Role column with KVI and Core tags, alongside live price ranges and competitor prices from Noon and Carrefour

Bulk-approve thousands. Inspect dozens. Override one.

When the agent has 2,400 proposals queued for the weekly run, your category manager doesn't review each one. They bulk-approve by rule, by category, or by margin threshold — and only drill into the exceptions that need attention.
  • Bulk-approve by rule, category, or margin threshold
  • Exception queue surfaces only the proposals that need human eyes
  • One-click override on any proposal, with reason captured for audit
Weekly approval queue2,412 proposals
Competitor match rule
Within ±5% margin floor
1,840
Approve all
Markdown wave 3
Winter outerwear, −15%
488
Review
Exceptions · Tier 1 SKUs
Margin drop >2pp
84
Drill in

Every move traces back to a reason.

The audit trail isn't a separate report. It's the same record the agent used to make the proposal — the signal, the rule, the math, the approval, the writeback. A CFO can click any price change and see exactly why it happened.
  • Final price with feasible range and applied vs violated rules
  • Margin impact preview before approval
  • Per-SKU history queryable by date, category, or rule
Retailgrid Price Analysis drawer for an OGX shampoo SKU showing final price £26.64, feasible range £26.64–£654.60, 1 applied and 2 violated rules, and margin impact
How a week runs on agentic pricing

Configure once. Run forever. Tune at the edges.

The first week is configuration. Every week after, the agent does the work — and your team approves the exceptions.

01

Configure rules and tiers

Set pricing rules in plain language. Assign autonomy tiers per category. Define what's a routine move (auto) and what needs sign-off (approval queue).

02

Agent runs the catalog

Daily or hourly, the agent reads live signals, scans the catalog against your rules, and proposes price changes. Auto-tier SKUs reprice in place. Approval-tier SKUs queue for review.

03

Approve the exceptions

Bulk-approve by rule for routine changes. Drill into the exception queue for the moves that need human judgment. Every approval (or override) is logged with a reason.

Built for CFOs as much as category managers

The agentic pricing your CFO will actually sign off on.

The reason most pricing AI fails in retail isn't the math — it's the trust. Retailgrid is built so every move has a reason, every rule has an owner, and every override has a record.

0 black boxes
Every price change shows its signal, rule, math, and approval
Per-SKU tiers
Autonomy is configurable per SKU, not one setting for the whole catalog
Bulk by default
Approve thousands at once by rule. Drill into the exceptions that matter

See agentic pricing that doesn't make your CFO nervous.

A 20-minute walkthrough of how Retailgrid combines rules, AI, and configurable autonomy — on a real retail dataset. No signup. No sales script.