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Two AI Solutions. One Platform.

AI-Powered Solutions
for Grocery Enterprise

Increase revenue withdynamic pricingand boost basket size withintelligent shopping assistance.
Built for large U.S. supermarket chains.

+18.7%
Revenue Increase
+56%
Basket Size Growth
127
Grocery Chains

AI Pricing Agent

AI Dynamic Price Agent

Watch competitors change prices in real-time. Get AI recommendations in seconds. Stop losing customers to cheaper stores before it's too late.

See Every Competitor Price in Real-Time — Automatically scans online competitors and marketplaces for instant price updates across your entire market

Get Exact Price Recommendations — AI suggests dynamic price adjustments based on category demand, profit margins, and competitive positioning

Optimize Each Store Location — Adapts pricing strategy to each store's local market, demographics, and competitive set automatically

Update Prices Across All Stores Instantly — Syncs directly with your POS systems for seamless, real-time price changes in seconds

Two critical challenges.
Two AI solutions.

Every grocery enterprise faces the same profit-crushing problems

ConveLosing Pricing Battles

Competitors change prices 47 times per day. Your manual process takes 3-5 days. By the time you react, customers are already shopping elsewhere. Revenue leaks every hour you wait.

Falling Behind on Price Changes

Retail pricing shifts hourly. Competitors adjust promotions and discounts multiple times per day—while your teams rely on manual checks and delayed reporting. By the time prices are updated, the market has already moved and margin opportunities are lost.

Combined enterprise impact

Real results from grocery chains deploying both solutions

Get Demo

18.%

Revenue Increase

98%

Matching Accuracy

99%

Uptime SLA

15 Min

Price Updates

Enterprise-ready integrations

Seamless connection to your existing systems

POS Systems

Inventory

E-commerce

Loyalty

Security

Side-by-side comparison

Choose the right solution for your challenge—or deploy both

Features
Real-time competitor price monitoring
AI-driven price optimization
Dynamic price updates
Integration with POS & inventory
Margin protection logic
Multi-store price management
ROI visibility
Setup time
Designed for grocery & supermarkets
PriceIQ AI (Dynamic Pricing)
Automated & continuous
Advanced machine learning
Instant recommendations
Seamless integration
Built-in safeguards
Centralized dashboard
Clear performance tracking
Fast onboarding
Industry-specific
Other Pricing Tools
Manual or periodic
Rule-based or basic algorithms
Delayed or manual updates
Limited or custom setup
Requires manual configuration
Often store-by-store
Limited analytics
Long implementation cycles
Generic retail focus

Stop leaving money on the table

Turn every shopper into a $67 buyer. Deploy ShopAssist AI this week.

Ideas, success stories and useful eCommerce tips to grow your business

Get answers about implementation, pricing, and ROI

How do the 2 AI Agents work together?
AI Shopping Agent handles customer interactions - understands natural language, builds carts, suggests products, and completes purchases conversationally. AI Pricing Agent monitors 5+ competitors per store location in real-time and recommends optimal prices to maximize revenue while protecting margins. Both agents share data to create a unified strategy: better prices attract more customers, while smart shopping assistance increases basket size.
Will it work with our POS system?
98% compatibility rate with 10 major POS systems: Square, Clover, NCR, Toast, Lightspeed, Revel, IT Retail, TouchBistro, ECRS, and NRS. We'll verify compatibility in your demo call.
What support do we get during rollout?
Dedicated enterprise support team, 24/7 monitoring, 99.9% uptime SLA, and on-site training for your staff during deployment phase.
How long does deployment take?
5-9 weeks from contract signing to full rollout. We recommend starting with a 2-5 store pilot (2 weeks), then scaling to all locations. Zero operational disruption guaranteed.
What's the typical ROI timeline?
Most chains see 4-6 month payback period. By year 3, average ROI is 3.2x investment. 64-store chains typically see $16-45M EBITDA uplift in first year.
Who owns the customer data?
You do. 100% customer data ownership. Unlike third-party marketplaces, all purchase history, preferences, and behavior data stays with your chain.

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