Replenit Reports · Retail Leaders’ Series
Short, animated reads on how retail CRM changes when an AI manager does the work. Each report takes minutes, backs its claims with named figures and ends with a question to put to your own stack.
All reports
Pick the one that matches the decision in front of you.
Customer story · Google Cloud
How Replenit built an AI-native decision engine on Google Cloud with BigQuery, Gemma on Cloud TPUs and Gemini platform: 360% growth in one quarter, 95% faster pipelines and 90% lower pipeline cost.
360%
business growth in one quarter with Google Cloud
95%
faster pipeline processing with Gemini platform
90%
lower pipeline costs using Gemma on Cloud TPUs
2027 Retail Leaders’ Handbook · Customer Engagement
CRM 5.0 replaces campaign operations with an AI CRM manager. See how retailers realize up to 4x more CRM revenue at up to 40% lower cost to operate retention.
Up to 4x
more realized CRM revenue than the campaign era
Up to 40%
lower cost to operate retention
24/7
autonomous execution, no manual campaign operation
2027 Retail Leaders’ Series · The business case
The business case for hiring Maestro, Replenit's AI CRM Manager: revenue from day one, proof from retailers in production, an engine validated by Google Cloud, and an outcome Replenit owns.
18.9x
average ROI across customers, reached in under 12 months
Month 1
ROI positive: Maestro pays for itself in the first month
54 days
for Maestro to run iBOOD’s #1 automation flow
2027 Retail Leaders’ Series · The operating model, explained
CRM 5.0 explained: how an AI CRM Manager decides for every customer, where it sits in your stack, who does what, how cost changes and how to start without a rip and replace.
70–80%
of customer messages decided by AI for each customer (BCG, 2026)
60–90
days and 20+ people to build one campaign today (BCG, 2026)
20–40%
more engagement and conversion where AI decides (BCG, 2026)
2027 Retail Leaders’ Series · The martech ceiling
Martech spend is up, usage is down to 33% and AI confidence is falling. See the numbers, why the ceiling is built in, and the AI workforce model that replaces it.
33%
of martech capability actually used (Gartner, 2023)
78%
of marketing leaders say martech fails to deliver ROI (eClerx, 2026)
90%
of the platform bill is for the layer behind 20% of revenue
2027 Retail Leaders’ Series · The martech myths
Volume pricing, the platform as the value, perfect data first, one platform for every industry, vendor AI. Five martech myths taken apart, and where the money really goes.
33%
of licensed martech capability actually used
$0
per message for mobile push via Firebase Cloud Messaging
60–80%
of martech cost expected to disappear (Replenit view)
