2026 Retail Pricing Benchmark

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Your role

C-suite (CEO, CFO, COO, CMO, CPO)

Analyst / Specialist

Consultant / Advisor

Your company type

Grocery / supermarket

Mass-merchandise / hypermarket

Pharmacy / drugstore

C-store / forecourt

Office supplies / electronics

Department / specialty

Online-first / marketplace

How often do you reprice your core assortment?

Real-time / continuous

Less than quarterly

What's your current pricing technology stack?

Spreadsheets / Excel

Vendor platform (Pricefx, Revionics, Blue Yonder, Eversight, RapidPricer, Omnia, others)

Which channels are creating the most pricing pressure for you in 2026?

Pure-play e-commerce (Amazon, Mercado Libre, Bol, etc.)

Quick commerce / 15-min delivery (Rappi, Getir, Gorillas, Blinkit, Flink, etc.)

Marketplaces & aggregators (3rd-party platforms, comparison sites)

DTC challenger brands

Hard-discounters (Tiendas 3B, Bara, Waldo's, Neto, Aldi, Lidl, Action, etc.)

Cross-border / grey-market imports

Private label cannibalization

Traditional brick-and-mortar competitors

None — pricing pressure is stable in 2026

For your strongest pressure channel — what's the specific problem?

We can't match their prices and stay profitable

We can match but our reaction time is too slow

We can't see their prices reliably (data quality)

Their margin model is structurally different (fees, subsidies)

Customers compare across channels and we lose the basket

Where are you on the AI-in-pricing journey?

Not using AI in pricing at all

Exploring / running pilots

AI used for some pricing decisions (e.g. promo, markdown)

AI is core to most pricing decisions

We've been doing this for 3+ years and are now optimizing the next layer

If you're using or piloting AI in pricing — what's the biggest obstacle right now?

Organizational alignment — getting commercial, merchandising and finance to agree on the approach

Data access & quality — getting clean, joined-up data into the model

Tool / vendor selection — too many options, hard to evaluate

Skillsets — finding people who understand both pricing and ML

Trust & explainability — leadership doesn't trust black-box recommendations

Integration — connecting AI outputs into ERP / POS / merchandising systems

ROI proof — can't show clear margin uplift to justify continued investment

Change management — pricing analysts resist losing manual control

What would unlock the next stage of AI adoption in your pricing function?

What's your top pricing investment for the next 12 months?

AI / ML automation

Promo optimization

Markdown management

Competitive intelligence

Pricing team hiring

Cross-channel pricing

Subscription & loyalty pricing

Channel-specific pricing strategy

Margin trajectory expected for 2026?

Improve >2 percentage points

Improve 1–2 percentage points

Decline 1–2 percentage points

Decline >2 percentage points

In one sentence — what would 'getting pricing right' unlock for your business in 2026?

Your email is used solely to send you the benchmark report. We will not pass it to third parties, add you to a marketing list, or share it with sponsors. You can ask us to delete your entry from the dataset at any time by replying to the report email. This complies with Mexico's LFPDP — questions or deletion requests: kirang@rapidpricer.nl.

2026 Retail Pricing Benchmark — Mexico