Converge Forecasting redefines demand prediction for consumer businesses through an AI-native, agent-backed architecture. Each agent is purpose-built to handle core forecasting tasks from data curation and model optimization to scenario simulation enabling explainable, granular, and scalable insights for decision-makers across supply chain, finance, and merchandising.
Key Benefits:
Accurate at Scale:
Run, agent backed, ensemble pipelines of AI/ML models tailored to your business with auto-selection of best-fit models per segment, product, or time period. Handle millions of forecasts with sub-hour latency.
Explainable by Design:
Visualize the impact of key factors pricing, promotions, weather, macroeconomic conditions on your forecast. Unlock true scenario planning and what-if decisioning.
Granular :
Generate forecasts at the most operationally relevant grain every location, customer, store & SKU, every week
Strategic Impact:
Core Process, Core Advantage:
Forecasting touches every critical decision assortment, replenishment, labor planning, price/promo optimization. Accurate forecasts don't just improve efficiency they shift how entire functions operate.
Composable and Extensible:
Designed to plug into related decision flows. Extend to inventory allocation, price optimization, promo planning, and strategic scenario analysis with a unified intelligence spine. Go from forecast to full P&L impact.
Proven at Scale:
Deployed across Retail, CPG, Restaurant, and Automotive enterprises, the asset has driven measurable improvements.
Every forecast made, adjusted, or overridden feeds back into the system's network of agents continuously refining their models and making the next decision smarter. Leverage Converge Forecasting to deliver forecasts more quickly and profitably.
Accurate at Scale: Run ensemble pipelines of AI/ML models tailored to your business - with auto-selection of best-fit models per segment, product, or time period. Handle millions of forecasts with sub-hour latency.
Explainable by Design: Visualize the impact of key factors- pricing, promotions, weather, macroeconomic conditions - on your forecast. Unlock true scenario planning and "what-if" decisioning.
Granular: Generate forecasts at the most operationally relevant grain - every location, customer, store & SKU, every week.
AWS Marketplace now accepts line of credit payments through the PNC Vendor Finance program. This program is available to select AWS customers in the US, excluding NV, NC, ND, TN, & VT.
Pricing is based on the duration and terms of your contract with the vendor. This entitles you to a specified quantity of use for the contract duration. If you choose not to renew or replace your contract before it ends, access to these entitlements will expire.
Additional AWS infrastructure costs may apply. Use the AWS Pricing Calculator to estimate your infrastructure costs.
This listing bills through a contract with two separate cost dimensions. The POC (Units) dimension covers a proof-of-concept engagement, letting you test the Forecasting product before wider use. The Operate (Units) dimension covers ongoing operational use once you move past that trial phase. These are independent line items rather than tiers, so you pay for each based on the units you need. Both dimensions note a CPPO (Channel Partner Private Offer) option, meaning final terms are arranged directly with the vendor. Check the Support Details on the listing for that private offer.
Top-of-mind questions for buyers
What does the POC (Units) dimension pay for versus the Operate (Units) dimension?
The POC dimension funds a proof-of-concept engagement, where you validate the Forecasting product on your data before full rollout. The Operate dimension funds ongoing production use afterward. They bill independently by units, not as tiers, so each covers a distinct project phase.
What does the Forecasting product actually deliver during an Operate engagement?
It produces explainable profit and loss forecasts at scale, showing not just predictions but the drivers behind them. Those forecasts feed planning, revenue management, inventory, and labor decisions. The product integrates your demand drivers to improve accuracy across front and middle office decisions.
How are the final contract terms and unit counts set for each dimension?
Both dimensions reference a CPPO (Channel Partner Private Offer) option in the Support Details. This means the vendor arranges the exact unit quantities and terms directly with you, rather than through a fixed public listing rate. Review the listing Support Details to begin that private offer.
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ConvergeConsumer support provides resolution of L1-L3 issues. Based on incident severity and will be suited to your business needs. Please contact cpassino@deloitte.com for support or if you would like additional details regarding a CPPO.
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