Billions of transaction records. Growing with every purchase. Every one a storage cost and a compliance liability.
RNDA encodes purchase behavior and discards the raw history. Personalization and fraud detection — without the data that creates the risk.
Request a Retail POC →The Problem
Retail and CPG companies store billions of raw transaction records primarily for segmentation, personalization, and fraud detection. GDPR, CCPA, and PCI-DSS create compounding liability with every record retained. The data must exist to create value — until now.
How RNDA Solves It
Customer behavior fingerprinting
Encode every customer's purchase behavior as a 256-byte signature. Discard the raw transaction history. Segment customers, power recommendations, detect anomalies — all from signatures.
GDPR/CCPA compliance by architecture
When no raw purchase history exists, data subject access requests and deletion requests resolve trivially. The signature carries behavioral meaning without carrying personal data.
0.947 discrimination gap on real retail data
Proven on 541,910 real transactions from 4,338 customers across 38 countries. Bulk buyers find bulk buyers. Premium shoppers find premium shoppers. The behavioral clusters are real.
In-store surveillance without surveillance retention
Foot traffic patterns, dwell time, and product interaction — all encodable and discardable at capture. Query behavioral patterns across thousands of store visits without storing a single raw event.
How RNDA Applies
Storage Elimination
Continuous IoT sensor streams from cold chain monitors, RFID readers, and smart shelving compressed 991x. A 500 TB CPG operation reduces storage from $27,600/year to under $30 — enabling long-term supply chain analytics that were previously economically infeasible.
Privacy Protection
Consumer loyalty data, purchase histories, and behavioral profiles are encoded at the storage layer, enabling personalization analytics without raw PII exposure. Proven on 541,910 real transactions from 4,338 customers — behavioral clusters survive encoding, personal data does not.
Compliance Management
CCPA, GDPR, and emerging state-level privacy laws require data deletion and portability. When no raw purchase history exists, deletion requests resolve in milliseconds — the signature is deleted, compliance is instantaneous. No analytics infrastructure disruption.
Intelligent Retrieval
Semantic search across years of compressed supply chain events and demand signals. Proven on real retail transaction data — discrimination gap 0.947 on 541,910 purchases across 38 countries. Bulk buyers find bulk buyers. Premium shoppers find premium shoppers. Results in ~20ms.
Collaborative Intelligence
CPG manufacturers and retail partners share compressed demand signals and inventory data across organizational boundaries without competitive exposure or data sovereignty risk. Collaborative supply chain intelligence without supply chain data sharing.
Storage Impact
Industry stat: IoT devices globally projected to generate nearly 80 zettabytes by 2025; large CPG manufacturers generate 500–1,500 TB/year of raw IoT sensor telemetry (ARO)
500 TB × 20% × $276/TB ÷ 991x compression (supply chain IoT)
500 TB CPG operation saves ~$27,500/year — 991x compression on real industrial IoT sensor streams
Proof of Concept Results
Real data. Measured numbers. No synthetic results.
Source: Real retail transaction data — 541,910 purchases across 38 countries
What Becomes Possible
"A loyalty program encodes every member's purchase history on transaction. Raw records are discarded. Personalization, segmentation, and fraud detection all run on signatures. A GDPR deletion request resolves in milliseconds — the signature is deleted, no raw data ever existed."
Ready to see it on your data?
Every number on this page came from a real POC. Yours will be built the same way — against your actual data type, measured compression, real query latency.
Request a Retail POC →