The Total Economic Impact™ Of KIBO Order Management
- 167% Return on Investment
- $8M Net Present Value
- $12.8M Benefits PV
- < 6 Months Payback
KIBO’s intelligent agents will plan, execute, and optimize your entire commerce ecosystem.
Customers using AI Agents can expect to achieve:
Cart Conversions, AOV, LTV, Checkouts
Customer Support Cost
Faster Order Fulfillment
Help shoppers and B2B buyers convert faster
Deflect WISMO and fix orders instantly
Forecast, merchandise, and price proactively
Turn any AI conversation into a transaction
Shopper Agent can answer product questions, check inventory, calculate delivery dates, and complete orders without human intervention.
Use the Order Routing Agent to manage complex logic and understand exactly how your business is running.
Optimize your business performance and gain prescriptive insights through the Analytics and Promotions Agents.
Our framework uses four distinct, powerful functions that agents use to interact with and automate the entire commerce ecosystem, serving both customer-facing and operational needs.
Focuses on conversational interactions across chat, email, and voice.
Replaces tedious UI clicks by executing system changes via natural language.
Optimizes system variables to hit specific goals for autonomous function.
Translates complex backend data and logic into human-readable answers.
Product information, order completion, purchase updates.
Catalog navigation, volume pricing, quote generation, PO ordering.
Configure promotions, discounts, and coupons.
Catalog, pricing and content configuration.
Order lookup, ask questions, edit orders.
Generate detailed insights and reports.
Surface user and API documentation, generate code.
Intelligently source and route orders.
Returns facilitation..
Inventory and demand insights and recommendations.
Avg Hrs to Fulfill
2024 → 2025
Avg Order Value
2024 → 2025
Avg Hrs to Fulfill (STH)
2024 → 2025
Cancellation %
2023 → 024
Items Per Order
2024 → 2025
Avg Pickup Hrs
2023 → 2024
KIBO’s architecture is entirely LLM Agnostic. Bring your own LLM. Our agents can be deployed on any leading Large Language Model, including Gemini, Claude, ChatGPT, and others, allowing you to choose the specific performance, security, and reasoning capabilities that fit your enterprise requirements.
Our core philosophy is simple: AI must be the new primary interface between humans and technology to make complex commerce possible.
Pre-trained, multi-agent system built for commerce and industry use cases.
AI Agents operate directly on our composable, API-driven architecture, allowing for rapid integration.
Our agents retain long, complex B2B negotiations or detailed shopping journeys while reducing hallucinations.
KIBO MCP Server turns conversations in Gemini, ChatGPT, and Claude into transactions.
Answers product questions, checks availability, adds to cart, and can place the order in one flow.
Creates and validates promotions, schedules activation, and safeguards margin.
Generates product descriptions and SEO metadata, translates content across locales, and publishes to the catalog.
Looks up orders, edits lines, applies coupons, and initiates refunds/returns.
Answers natural‑language questions with charts, anomaly detection, and prescriptive recommendations.
Surfaces API documentation and generates production‑ready code or containers.
Proposes routing rules, explains decisions, and optimizes source selection.
Automates per‑item disposition, routes to the right node, and confirms restock for resale.
Generates demand forecasts and recommends purchasing, transfers, or rebalancing.
From Black Friday chaos to B2B complexity
— see how agents deliver under pressure.
High volume, high promo pressure
Predicts/validates rules to protect margin; avoids stacking errors.
Order Routing Agent
Optimizes for cost or speed under SLA; reduces splits and late deliveries.
CSR Agent
Deflects WISMO with self‑service tracking/edits.
Large quotes, tiered pricing
Buyer Agent
Answers “volume discount” questions, builds the cart/quote with real‑time inventory, and places the order.
Order Routing Agent
Respects brand/region/hazmat constraints; splits intelligently; supports consolidation/transfers
Merchandising Agent
Localizes product copy & SEO across locales to support multiple regions.
Your customers are already asking AI assistants for product recommendations, availability checks, and purchase advice. Now they can complete the transaction without leaving the conversation.
Works inside Gemini, ChatGPT, Claude, and other AI assistants
Live product info, pricing, availability, and checkout
You decide what data and actions external AIs can access
Most AI struggles to move from “knowing” to “doing.” KIBO bridges that gap by connecting agents directly to your commerce APIs.
Context-Aware Intelligence: Agents are grounded in your specific product catalogs, customer data, and brand voice.
Direct API Execution: Agents don’t just suggest actions; they perform them, handling everything from cart updates to complex order routing and returns.
Safety & Governance: Every action is logged with a full audit trail. For high-impact decisions, “Human-in-the-Loop” approvals ensure you always maintain ultimate control.
Scopes per agent • Approvals for sensitive actions
Audit trail of every action & prompt • Data control with enterprise controls
KIBO Agentic Commerce is designed to grow alongside your business. Our transparent pricing combines a conversation-volume-based model with an annual subscription cost based on the number of order lines, so you can scale your operations at your own pace.
Ready to learn more and get started?
Pricing is tiered based on volume
Volume: 100K Conversations
Price: $45,000 USD
Additional Volume:
$.50/conversation (Sold in blocks of 10K conversations)
Term Length: 1 year
Volume: 500K Conversations
Price: Tiered Pricing
Additional Volume:
$.45/conversation (Sold in blocks of 10K conversations)
Term Length: 1 year
Volume: 1M+ Conversations
Price: Tiered Pricing
Additional Volume:
$.40/conversation (Sold in blocks of 10K conversations)
Term Length: 1 year
A shopper on your website asks a bot for a restock update; the agent checks inventory and offers a “notify me” option or a similar alternative.
An admin says, “Set a 20% discount on outerwear for loyalty members this weekend,” and the agent builds and schedules the promo.
You set a goal to “Maximize margin on clearance while keeping 98% fulfillment,” and the agent dynamically adjusts shipping and pricing rules
A customer service rep asks, “Why was this order routed to NJ instead of DE?” and the agent explains the logic based on shipping rates and inventory.
Answers product questions, checks availability, adds to cart, and can place the order in one flow.
Faster PDP to cart conversion, and fewer drop‑offs, by completing the purchase inside the conversation.
Helps B2B buyers navigate complex catalogs, calculate volume pricing, create quotes/carts, and place POs.
Shorter quote‑to‑order cycles and higher order accuracy for large, multi‑line B2B purchases.
Creates and validates promotions, schedules activation, and safeguards margin.
Higher AOV with fewer promo errors or leakage during peak events.
Generates product descriptions and SEO metadata, translates content across locales, and publishes to the catalog.
Faster, consistent global merchandising without manual copy/paste work.
Looks up orders, edits lines, applies coupons, and initiates refunds/returns.
Lower handle time and higher CSAT via instant self‑service and agent‑assist flows.
Answers natural‑language questions with charts, anomaly detection, and prescriptive recommendations.
Faster decision‑making and proactive issue detection vs. reactive reporting.
Surfaces API documentation and generates production‑ready code or containers.
Shorter time‑to‑market and simpler integrations for new commerce features.
Proposes routing rules, explains decisions, and optimizes source selection.
Lower shipping cost/order, fewer splits, and fewer late deliveries.
Automates per‑item disposition, routes to the right node, and confirms restock for resale.
Higher recovery value, faster days‑to‑resale, fewer manual touches.
Generates demand forecasts and recommends purchasing, transfers, or rebalancing.
Fewer stockouts and less excess inventory through proactive planning.
Answers product questions, checks availability, adds to cart, and can place the order in one flow.
Catalog look‑up → real‑time inventory (RIS)/EDD check → cart operations → checkout
Faster PDP to cart conversion, and fewer drop‑offs, by completing the purchase inside the conversation.
Creates and validates promotions, schedules activation, and safeguards margin.
Create promo object → set segmentation/eligibility → validate conflicts → schedule start/stop
Higher AOV with fewer promo errors or leakage during peak events.
Generates product descriptions and SEO metadata, translates content across locales, and publishes to the catalog.
Draft long description → generate SEO → translate to locales → publish updates to parent catalog
Faster, consistent global merchandising without manual copy/paste work.
Looks up orders, edits lines, applies coupons, and initiates refunds/returns.
Order lookup → modify order lines → apply coupon/reprice → issue refund or start RMA
Lower handle time and higher CSAT via instant self‑service and agent‑assist flows.
Answers natural‑language questions with charts, anomaly detection, and prescriptive recommendations.
Query metrics across channels → run anomaly/variance checks → generate viz → attach recommendations
Faster decision‑making and proactive issue detection vs. reactive reporting.
Surfaces API documentation and generates production‑ready code or containers.
Retrieve relevant API docs → scaffold container/service → add error paths → wire inventory/cart calls
Shorter time‑to‑market and simpler integrations for new commerce features.
Proposes routing rules, explains decisions, and optimizes source selection.
Candidate generation across nodes → apply filters (hazmat/geo/capacity) → evaluate scenarios → assign fulfillment (plus transfers if needed)
Lower shipping cost/order, fewer splits, and fewer late deliveries.
Automates per‑item disposition, routes to the right node, and confirms restock for resale.
Authorize return → choose disposition → create route → update item condition → restock/RTV
Higher recovery value, faster days‑to‑resale, fewer manual touches.
Generates demand forecasts and recommends purchasing, transfers, or rebalancing.
Build time‑series forecasts → simulate scenarios → produce purchase/transfer suggestions → export to planning
Fewer stockouts and less excess inventory through proactive planning.
