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Unify fragmented datasets for accurate decisions
Inconsistent product names, missing attributes, and retailer-specific variations make reconciliation of data across markets and systems complex and error-prone. These gaps slow down reporting, disrupt forecasting, and weaken decision-making across sales, marketing, and operations. Reconica automates data harmonization and identity resolution using advanced ML models and Generative AI. It builds a single source of truth by standardizing and mapping data types for trusted analytics and seamless downstream workflows.
Sigmoid Reconica structures, enriches and standardizes raw inputs
Data coming from retailers, agencies, marketplaces, and internal systems is often unstructured, incomplete, or formatted differently. Sigmoid Reconica solves this by breaking down raw inputs into enriched, standardized attributes, enabling reliable matching, filtering, reporting, and analytics.
It reads any product name and extracts rich attributes that make the product searchable, comparable, and mappable across systems.
- Brand
- Category
- Pack size or weight
- Format (powder, liquid, mist, cream, etc.)
- Fragrance
- Ingredient
- Product type and subtype
Store attributes enable easy filtering and matching across retailer feeds and enhances location-based reporting.
- Retailer (e.g., Walmart, Big Bazaar)
- State
- City
- Region
- ZIP code
Every downstream workflow interacts with clean data with reduced errors and minimal reconciliation loops across functions.
- Sales reporting
- Trade and promo analytics
- Marketing attribution
- Supply chain workflows
- Category & product lifecycle analytics
Sigmoid Reconica features
Single source of truth
Automatically consolidate internal and competitor datasets automatically into accurate golden records to deliver reliable, standardized master data.
AI-powered matching and mapping
Search, filter, and match products or stores across systems, with high mapping accuracy, hierarchy alignment, and cross-market comparisons.
Multilingual data support
Accurately map global datasets with built-in translation and language-specific models that support diverse retailer feeds and regional variations.
Enriched datasets for downstream analytics
Combine extracted attributes with standardized identities to create complete, analytics-ready datasets that streamline reporting, segmentation, forecasting, and category insights—all without manual preparation.
Automated incremental master upkeep
Maintain master accuracy with automated weekly or monthly mapping. Models tag new records based on learned patterns, while low-confidence matches go to human validation to continually improve performance.
Adaptable to business needs
Extend coverage to all business data with plug-and-play modules for web scraping, rapid validation frameworks, automated ingestion pipelines, and annotation tools, ensuring seamless scaling as data sources grow.
Sigmoid Reconica ensures you can audit, explain, and govern every decision
- View what mappings were auto-accepted vs. manually overridden
- Transparent scoring and feature attribution for each dataset mapping
- Maintain historical versions for rollback and auditing
Sigmoid Reconica connects multiple masters to deliver business-wide clarity
Sigmoid Reconica removes data inconsistencies by creating and connecting unified masters, ensuring accuracy across the business.
Eliminate manual reconciliation across sales, marketing, and trade
With unified masters and accurate bundle breakdowns, teams no longer spend hours fixing mismatched SKUs or reconciling retailer-specific variations. Sales, trade, and marketing insights become faster, cleaner, and more reliable.
Strengthen decision-making with complete product and competitive visibility
By merging internal masters and auto-building competition masters from transaction data, the tool provides a complete picture of both owned and competitor products to enable better pricing, promo, and portfolio decisions.
Improve reporting speed and operational efficiency
Automated historical and incremental mapping reduces dependency on manual data prep. BI teams, planners, and analysts benefit from quicker report refreshes, faster KPI alignment, and seamless downstream workflows.
Customer success story
Harmonizing product master data with retail sales for 95% accurate SKU matching for a global consumer goods company
- 1.5B+ records processed across 8 markets and 25 retailers
- Automated harmonization delivering < 10% deviance across six key KPIs
- Scalable solution enabling faster, more reliable cross-market reporting
Other accelerators
Sigmoid DataGuard
Identify, rectify, and prevent data quality issues throughout the data lifecycle with interactive dashboards and alert mechanisms. It is a scalable solution that integrates into any cloud environment and executes data quality tasks with minimal manual intervention.
Sigmoid DataConnect
Integrated and secure data pipelines that help you gain better visibility across the enterprise, generate quality insights, and make informed decisions.