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Case study · Retail & Ecommerce · Conversational AI

$47M incremental online order revenue at a grocery retailer — conversational commerce

A national grocer's online basket-building experience took 18 minutes and lost half its shoppers before checkout. pronix.ai launched a conversational commerce experience with personalized substitutions — 4.1-minute basket time and $47M in incremental online revenue in one year.

Client
National US grocery retailer, 2,300 stores
Industry
Retail & Ecommerce
Platform
Google Cloud · Salesforce Commerce Cloud · custom voice UX
By pronix.ai CX Engineering7 min readQ4 2025
$47M
Incremental online revenue (year 1)
18m → 4.1m
Basket-building time
+3x
Accepted substitution rate
+22%
Repeat-order rate

*Representative outcome; results vary by client, scope and platform configuration.

The challenge

Digital ordering was clunky, substitutions frustrated shoppers, and repeat-order rate was flat. Loyalty data existed but wasn't shaping the experience at the moment of purchase.

Our approach

Step 01

Voice and chat basket builder

Shoppers assembled baskets by talking through a list — the agent understood brand preferences, sizes and dietary constraints.

Step 02

Personalized substitutions

Substitution logic tuned per shopper using loyalty history — accepted substitutions rose 3x.

Step 03

Real-time inventory grounding

Every recommendation grounded on live store inventory — no promised items missing at pickup.

Step 04

Loyalty-aware upsell

Upsell offers matched loyalty segment and never violated dietary or allergen constraints on file.

Step 05

Store-associate escalation

Complex or high-value orders offered a live handoff to a store associate — kept the human relationship on the biggest baskets.

For Chief Digital OfficerFor VP EcommerceFor Head of Loyalty

Illustrative case study. Scenarios, metrics, quotes and client details are representative composites based on Pronix engagements and industry benchmarks unless a named client is shown with written consent. Outcomes vary by client, scope, data quality and platform configuration. Nothing on this page is a guarantee, warranty or professional advice. See our Terms of Use for the full disclaimer.

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