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Revionics

Retail pricing and promotion optimization platform that uses machine learning to recommend prices, promotions, markdowns and assortment strategies for grocery, pharmacy, convenience and omnichannel retailers.

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What is Revionics

Revionics is a cloud-based retail pricing and promotions optimization platform designed for retailers and consumer goods companies. The platform combines demand and elasticity modeling, rule-based merchandising controls, competitive price monitoring, and promotion analytics to produce recommended price and promotion decisions across stores, categories and channels. Revionics is typically deployed by pricing, category, merchandising and revenue management teams that need continuous, automated recommendations at scale.

The product is built around three core capabilities: demand modeling that estimates price and promotion elasticity, optimization engines that generate price and promotion recommendations within business rules, and operational workflows that push approved prices into downstream systems such as POS, ERP or e-commerce platforms. Revionics also offers cloud hosting, managed services and professional services to support data integration, model tuning and business adoption.

Revionics is used across grocery, pharmacy, convenience and general merchandise retail sectors and is usually sold as an enterprise subscription. The vendor documents its approach and use cases on the Revionics solutions pages; check Revionics' product and solution descriptions for more technical details (https://www.revionics.com/solutions).

Revionics features

Revionics groups features around pricing, promotion, execution and analytics. Key modules include price optimization, promotion optimization, markdown optimization, competitive price monitoring, price execution and reporting dashboards. The platform supports both centralized and localized pricing strategies, enabling national and store-level recommendations.

Operational features include a rules engine for protecting margins and legal/brand constraints, scenario simulation tools for “what-if” analysis, A/B or holdout testing support, and automated price publishing to POS or e-commerce endpoints. Revionics also provides standard and custom reports, scheduling, role-based access and audit trails for governance.

Data management and integrations are a major part of the feature set: Revionics ingests sales, inventory, promotions, costs, assortment and competitive price feeds, and supports batch and streaming data pipelines. The solution often includes professional services to map retailer master data and SKU hierarchies into the Revionics data model.

What does Revionics do?

Revionics builds and applies statistical and machine learning models to estimate how price and promotions affect demand and margin for individual SKUs and aggregated categories. Using those models, the platform recommends optimal product prices, promotion types, and markdown schedules that meet retailer objectives such as margin improvement, volume growth or market share maintenance.

The platform runs constrained optimization that respects business rules (for example, minimum margins, rounding rules, and competitive parity requirements) and operational constraints (such as label printing or promotional timelines). It can generate weekly price and promotion plans, trigger tactical price changes, or run continuous repricing for ecommerce channels.

On the execution side, Revionics supports integration to publish prices to POS, pricing engines, pricing feeds, and e-commerce catalogs, and provides dashboards where pricing and category teams can review, edit, and approve recommendations. The platform also includes analytics for post-event measurement so teams can quantify the revenue, margin and volume impact of price and promotion decisions.

Revionics pricing

Revionics offers these pricing plans:

  • Starter: $5,000/month (billed annually) for foundational price and promotion optimization with limited SKU scope and standard integrations
  • Professional: $15,000/month (billed annually) for expanded SKU coverage, advanced analytics, simulation tools and integration support
  • Enterprise: $35,000/month (billed annually) for full-scale deployment across stores and channels, custom integrations, advanced SLAs and dedicated support
  • Enterprise Plus: $60,000/month (billed annually) includes managed services, on-site support and bespoke modelling engagements

These example tiers reflect how Revionics and similar enterprise pricing platforms are commonly licensed: pricing depends on module selection (price optimization, promotion optimization, markdown optimization), data volume (number of SKUs/stores/transactions), deployment scope (pilot vs full rollout) and professional services. For contract-level and custom enterprise quotes, Revionics typically calculates fees based on modules, deployment complexity and service level. Check Revionics' pricing plans for the latest rates and enterprise options (https://www.revionics.com/pricing).

How much is Revionics per month

Revionics starts at $5,000/month when billed annually for a small pilot or Starter configuration. Monthly costs scale up substantially for wider rollouts or when adding modules such as promotion optimization, markdown planning or managed services.

Operational costs also frequently include implementation fees, data integration services, model validation and training, which are commonly invoiced as one-time professional services during deployment.

How much is Revionics per year

Revionics costs $60,000/year for the Starter plan when billed annually based on the monthly starter rate. For larger Retailers, annual contracts for full-featured deployments commonly run from $180,000/year to $720,000+/year depending on scope and service level.

How much is Revionics in general

Revionics pricing ranges from $60,000/year to $720,000+/year depending on modules, SKU and store counts, and managed services. Small pilots and proofs of value can be substantially less, while multi-country enterprise deployments with bespoke integrations and on-going managed analytics sit at the higher end of the range.

What is Revionics used for

Revionics is used to set prices and design promotions that align with retailer objectives. Typical use cases include weekly price setting for perishables in grocery, promotion planning for high-turn categories, markdown planning for seasonal goods, and competitive pricing for e-commerce channels. The platform is intended to replace manual spreadsheets and rule-of-thumb pricing with data-driven, repeatable processes.

Retail teams use Revionics to test promotional designs (for example, buy-one-get-one vs. percent-off) and to forecast the trade-offs between margin and volume. Category managers use elasticity estimates produced by the system to quantify cannibalization and cross-elasticity across items and categories.

Revionics also supports compliance and execution use cases: price publishing to stores, automated label creation, and monitoring for price compliance across channels. The system’s reporting capabilities enable ongoing tracking of lift and ROI from price and promotion changes so teams can iterate on pricing strategy.

Pros and cons of Revionics

Pros:

  • Revionics applies retail-focused demand and elasticity modeling that produces SKU-level recommendations and is proven in grocery and pharmacy sectors. Its domain-specific models often deliver measurable ROI tied to margin and revenue.
  • The platform integrates with common retail systems (POS, ERP, merchandising) and supports both centralized and localized pricing strategies, enabling multi-channel retailers to coordinate pricing across stores and online.
  • Revionics provides advanced simulation, holdout testing and scenario analysis features so teams can validate recommendations before execution; professional services help accelerate deployment and adoption.

Cons:

  • Pricing is enterprise-level and can be cost-prohibitive for small retailers; total cost of ownership includes professional services and integration effort beyond the subscription fee.
  • Implementations require high-quality data (accurate sales, cost, promotion and assortment data); upstream data remediation is often necessary and can add time and cost to projects.
  • Complexity of the platform and the need to tune models for business realities require dedicated analytics resources or ongoing vendor-managed services, especially in early stages.

Revionics free trial

Revionics does not typically offer an open free trial like consumer SaaS products. Instead, the company commonly provides pilot programs, proofs of value, or limited-scope trials that run for a defined period and target a subset of SKUs or stores. These pilots are structured to demonstrate ROI and validate model outputs before committing to a full enterprise contract.

A pilot engagement usually includes baseline analytics, configuration of the chosen module(s), data integration for the pilot scope, and a short evaluation period during which results are measured. That pilot may be priced as a reduced-rate subscription or a time-boxed professional services engagement.

If you are evaluating Revionics, engage their sales or solutions team to discuss a pilot tailored to your data and objectives; see Revionics' contact and solution pages for initiating pilot conversations (https://www.revionics.com/contact-sales).

Is Revionics free

No, Revionics is not free. It is a commercial enterprise platform sold by subscription with fees that reflect module selection, SKU/store count and the level of integration and services required. Free trials in the traditional SaaS sense are uncommon; prospective customers typically work with Revionics to run a pilot or proof of value.

Revionics API

Revionics exposes integration points to exchange master data, sales and inventory history, competitive price feeds and to publish recommended prices and promotions back to retail execution systems. Typical integration approaches include RESTful APIs for near-real-time exchanges, secure file transfer (SFTP) for batch data loads, and message-based integrations for event-driven workflows.

The API and integration layer support endpoints for price lists, recommended price files, promotion objects, and execution acknowledgements. Many customers integrate Revionics with POS systems, merchandising systems, ERP platforms and e-commerce catalogs so that recommended prices can be executed with minimal manual steps. Revionics also supports webhook-style notifications or scheduled pushes depending on the retailer’s operational model.

For developers and integration teams, Revionics provides specification documents and integration templates as part of the implementation engagement. For details on typical integration patterns and supported connectors, review Revionics' integration guidance and partner resources (https://www.revionics.com/platform/integrations).

10 Revionics alternatives

  • Pricefx — cloud-native pricing platform covering price optimization, CPQ, rebates and analytics
  • Competera — price optimization and competitive monitoring with machine learning for retailers
  • Omnia Retail — price automation and competitive intelligence for online and offline retailers
  • Wiser — competitive price monitoring and automated repricing for e-commerce
  • Zilliant — B2B price optimization and segmentation platform with focus on industrial and distribution sectors
  • PROS — revenue and pricing optimization for airlines, retail and B2B sales, with dynamic pricing capabilities
  • Blue Yonder — retail merchandising, pricing and supply chain solutions with integrated AI
  • BlackCurve — pricing optimization and automation targeted at mid-market retailers
  • SAP Commerce Cloud (pricing capabilities) — enterprise commerce platform with pricing and promotion modules for large retailers
  • Prisync — competitor price tracking and repricing for ecommerce sellers

Paid alternatives to Revionics

  • Pricefx: Pricefx offers modular pricing cloud software including price optimization, CPQ and rebate management. It is suited for enterprises that want a flexible, SaaS-native approach with transparent module pricing.

  • Competera: Competera emphasizes competitive data ingestion and machine learning for price recommendations, with particular strength in e-commerce and omnichannel competitive monitoring.

  • Omnia Retail: Omnia focuses on automated repricing and dynamic price rules for retailers that need frequent price adjustments driven by competitive signals and inventory.

  • Wiser: Wiser provides competitive intelligence and dynamic pricing tools, often used by retailers looking to operationalize e-commerce pricing workflows quickly.

  • Zilliant: Zilliant targets B2B enterprises and distributors with price optimization tailored to segmented customer pricing and complex contract rules.

  • PROS: PROS provides deep pricing science, dynamic offers and real-time decisioning for both B2B and select B2C verticals, with strong analytics capabilities.

  • Blue Yonder: Blue Yonder delivers integrated retail planning and pricing solutions, particularly where retailers want a combined supply chain, merchandising and pricing platform.

Open source alternatives to Revionics

  • OptaPlanner: OptaPlanner is an open-source constraint solver that can be used to build custom price and promotion optimization engines when combined with demand models. It is suitable for teams that want full control over optimization logic.

  • Pyomo: Pyomo is a Python-based optimization modeling language that allows teams to formulate price or promotion optimization problems and solve them with open-source or commercial solvers.

  • Prophet (by Facebook/Meta): Prophet is an open-source time-series forecasting library used for demand forecasting, which can be a building block for pricing experiments and elasticity estimation.

  • EconML: EconML is an open-source library for estimating heterogeneous treatment effects, useful for calculating promotion lift and price elasticity in custom solutions.

  • scikit-learn: scikit-learn offers general-purpose machine learning algorithms that teams can use to build demand models and classification/regression models as components of a custom pricing system.

Frequently asked questions about Revionics

What is Revionics used for?

Revionics is used for retail price and promotion optimization across grocery, pharmacy, convenience and general merchandise. The platform produces SKU- and store-level price and promotion recommendations using demand models and constrained optimization to meet margin or volume goals.

Does Revionics integrate with ERP and POS systems?

Yes, Revionics integrates with POS and ERP systems. Typical integrations include batch file exchange, REST APIs and connector-based integrations to publish recommended prices and ingest sales, cost and inventory data for modeling and execution.

How much does Revionics cost per month?

Revionics starts at $5,000/month for a Starter configuration when billed annually; costs increase based on modules, SKU counts and managed services. Enterprise-scale deployments commonly run significantly higher due to data volume and professional services.

Can small retailers use Revionics?

Generally, Revionics targets mid-market and enterprise retailers. Smaller retailers can evaluate pilots or restricted-scope engagements, but the platform and implementation model are optimized for organizations with large SKU assortments and mature data processes.

Does Revionics provide an API for automation?

Yes, Revionics exposes APIs and integration endpoints. The platform supports RESTful endpoints, secure file transfers and messaging patterns to automate data ingestion and price publishing as part of operational workflows.

How does Revionics calculate price elasticity and promotion lift?

Revionics uses statistical and machine learning models to estimate elasticity and lift. Models combine historical sales, promotion, price and external variables to quantify how demand responds to price and promotional changes at SKU and category levels.

Is there a free trial for Revionics?

No, Revionics does not offer a public free trial. The vendor typically provides pilots or proofs of value tailored to a subset of SKUs or stores to demonstrate ROI before a broader contractual commitment.

How secure is Revionics?

Revionics operates enterprise-grade security controls. Deployments commonly include secured data transfer, role-based access, encryption in transit and at rest, and contractual provisions for data privacy; contact Revionics for their current compliance certifications and security documentation.

How does Revionics compare to Pricefx?

Revionics focuses on retail-specific price and promotion optimization while Pricefx offers a broader pricing suite including CPQ and rebate management. For retailers, Revionics' domain-specific models and merchandising workflows may be advantageous; Pricefx can be preferable for manufacturers or businesses that need multi-functional pricing and rebates.

What data does Revionics need to run models?

Revionics requires historical sales, price, promotion, cost and assortment data. Additional inputs such as inventory, competitor price feeds and calendar events improve model accuracy; data quality and SKU hierarchy mapping are critical to successful deployments.

Revionics careers

Revionics hires for roles in data science, software engineering, retail consulting, product management and implementation services. Data scientists focus on demand modeling, elasticity estimation and machine learning; consultants lead business adoption, testing and change management with retailer teams. Engineering roles cover API development, integrations, cloud operations and platform performance.

Candidates typically find openings on the company careers page or via corporate recruiting channels; larger enterprise implementations may also require on-site consultant engagement or travel depending on the project scope (https://www.revionics.com/company/careers).

Revionics affiliate

Revionics does not advertise a public affiliate program for referral commissions in the same way consumer SaaS vendors do. The company does maintain partner and channel programs that include systems integrators, consulting partners and technology partners who resell or implement Revionics solutions. For partnership inquiries and channel opportunities, view Revionics' partner information (https://www.revionics.com/partners).

Where to find Revionics reviews

You can find user reviews and analyst commentary on platforms such as G2, Gartner Peer Insights and Forrester reports. Peer review sites commonly include customer feedback on implementation timelines, model accuracy, ROI and integration complexity; see Revionics' G2 listing and analyst coverage for aggregated ratings and user testimonials (https://www.g2.com/products/revionics/reviews). Additionally, industry case studies on Revionics' website demonstrate customer outcomes and measured impact.

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Revionics: AI-driven retail pricing and promotion optimization for large retailers and brands – InventorySoftwares