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      Revology Analytics Announces ATLAS and ATLAS Plan, AI-Enabled Platforms for CPG


      News provided by

      Revology Analytics

      Nov 05, 2026, 08:37 ET

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      Conversational AI and commercial analytics help CPG leaders evaluate pricing, promotion, and distribution opportunities, compare scenarios, and build plans for profitable growth.

      DAVIDSON, N.C., Nov. 5, 2026 /PRNewswire/ -- Revology Analytics, a pricing and revenue growth management (RGM) advisory firm, today announced ATLAS and ATLAS Plan for consumer packaged goods (CPG) companies.

      Sales growth alone does not show whether a business is investing in the right customers, products, or routes to market. Leaders need to understand what drives profitability, where further investment could earn a healthy return, and whether their plans can meet financial targets. Different data and assumptions make those decisions harder.

      Continue Reading
      ATLAS combines pricing and RGM analytics with embedded conversational AI to help CPG leaders understand customer profitability, channel profit pools and growth opportunities. Teams can explore performance in plain language, identify where pricing, promotion or distribution changes could pay off, and compare scenarios before investing.
      ATLAS combines pricing and RGM analytics with embedded conversational AI to help CPG leaders understand customer profitability, channel profit pools and growth opportunities. Teams can explore performance in plain language, identify where pricing, promotion or distribution changes could pay off, and compare scenarios before investing.
      ATLAS Plan helps CPG sales and finance teams turn growth targets into annual account plans, with embedded AI agents identifying pricing and promotion options to improve the outlook. Teams can compare expected effects on revenue, trade spending and profit (for themselves and retailers/distributors), then refine future plans as actual results come in.
      ATLAS Plan helps CPG sales and finance teams turn growth targets into annual account plans, with embedded AI agents identifying pricing and promotion options to improve the outlook. Teams can compare expected effects on revenue, trade spending and profit (for themselves and retailers/distributors), then refine future plans as actual results come in.

      ATLAS brings sales, cost, trade, distributor, and market data together to assess profitability by customer and product, including indirect retailers served through distributors. Teams can examine performance after accounting for product costs, trade spending, freight, and customer investment, then explain changes in profitability through price, volume, mix, trade spending, and cost drivers.

      The platform analyzes profit pools across manufacturers, distributors and retailers, showing how profit is shared. Teams can test pricing and funding options for improving those economics. Comparing distribution with velocities identifies strong products that may warrant expansion into additional locations. Promotion analysis helps identify where increasing or reallocating investment could generate profitable growth, as well as events that need to be redesigned or reduced.

      Detailed scenarios let teams compare prices, discounts, merchandising support, and funding arrangements before committing. They can assess estimated volume and profit for each channel partner, understand trade-offs, and evaluate where to direct the next investment. Retail sales analysis and performance tracking help explain changes in retail sales and identify gaps against plan.

      ATLAS Plan shifts the focus to next year's annual plan and the current-year forecast. Teams build plans account by account, reviewing distribution, velocity, pricing, and promotional assumptions to assess their impact on net revenue, trade spending, and gross profit. Teams can see which accounts contribute to the gap against target and evaluate changes before committing to the plan. As actual shipments come in, teams compare the full-year outlook with budget and test future pricing and promotion changes in separate scenarios. Closed periods and retailer advertising commitments remain protected, and proposed changes are submitted for review.

      "CPG leaders need to understand where growth is coming from, what it contributes to profit, and what needs to change to meet their goals," said Armin Kakas, Managing Partner of Revology Analytics. "We built ATLAS and ATLAS Plan to help sales and finance connect those insights to the pricing, investment, and account decisions that shape the annual plan, and adjust those decisions as the year unfolds."

      Revology builds both platforms in the client's own environment, including Microsoft Fabric, with automated data connections configured to integrate with existing systems. Conversational AI lets teams explore the analysis in plain language, while AI agents help evaluate pricing and promotion options for human review. Clients own the code and models, supported by training to use the analysis in everyday commercial decisions.

      Watch the walkthroughs or request a demo at revologyanalytics.com/atlas-revenue-growth-management-cpg/ and revologyanalytics.com/atlas-plan-bottom-up-planning-and-forecasting-for-cpg/.

      About Revology Analytics

      Revology Analytics is an end-to-end pricing and RGM advisory firm serving mid-market companies and global business units. Its CPG practice combines commercial strategy, analytics implementation, governance, change management, and training to build capabilities that client teams can operate themselves. The firm also serves med-tech, distribution, and B2B manufacturing businesses. Learn more at revologyanalytics.com.

      Media contact

      Revology Analytics
      803-701-9243 
      426274@email4pr.com
      The Hurt Hub@Davidson, 210 Delburg St, Davidson, NC 28036

      SOURCE Revology Analytics

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