B2B eCommerce

AI for B2B eCommerce

What falls between buyer intent and your ERP.

INDUSTRYSenior Care LivingAI Agent LayerCloses coordination gaps across your operationsRecordsERP, EHR anddata sourcesSchedulingShifts, tasks andworkflowsBillingFinance, AR andrevenue cycles
01. Why AI Matters

Why AI Matters Here

B2B ecommerce operations carry complexity that most platforms were not built for. Account-specific pricing, tiered discounts, and multi-stakeholder purchase orders generate coordination work that falls on your sales and operations staff every day.

AI agents handle the translation work between buyer intent and your system of record, without touching your ecommerce platform or ERP. The processes consuming the most staff time are the ones with the clearest rules, and those are the ones most ready to automate.

02. Operational Challenges

Where Staff Time Goes

Quote Request Handling

An RFQ from an established account triggers manual work across your CRM, price lists, and inventory systems. Sales reps spend 2 to 4 hours per complex quote on data assembly rather than selling.

Order Entry from Email

Most B2B buyers order by email or PDF attachment even when a portal exists. Each order requires manual SKU matching and ERP entry, introducing errors at every step.

Contract Pricing Compliance

Order managers manually verify each transaction against negotiated rates and discount tiers. When that check is missed, margin leakage goes undetected until month-end reconciliation.

Reorder Coordination

Repeat orders from established accounts still require the same manual steps as new orders. No mechanism recognizes buying patterns or prompts reorders before the buyer runs short.

03. Qualification

Who This Is For

Good FitNot a Good Fit
Your ERP holds defined pricing rules, account tiers, and contract terms that govern your transactions today.Your core platform is still being configured and pricing data is not yet stable or centralized.
You handle meaningful repeat order or quote volume from established accounts every week.Transaction volume is low enough that manual handling is not yet a measurable cost to the business.
You want to automate quoting, order entry, or buyer self-service without replacing existing systems.You are evaluating a full platform replacement rather than an automation layer on what already runs.
Your staff spends significant time on manual data entry, SKU matching, or contract pricing verification.You expect fully autonomous purchasing with no human approval steps for high-value or contract-specific orders.
04. AI Applications

Where AI Agents Work

Sales Operations

  • Quote assembly: reads incoming RFQs, applies account-specific pricing from the ERP, and returns a draft quote in minutes rather than hours.
  • Reorder prompting: monitors buying patterns and alerts account managers before an established customer reaches a reorder point.

Customer Service

  • Order status: resolves where-is-my-order queries by connecting to the OMS and WMS without involving a service rep.
  • Return authorization: processes RMA requests against policy rules and escalates only policy exceptions to a human agent.

Operations / Order Management

  • PO conversion: extracts structured order data from emailed PDFs and flat files, validates against catalog and contract pricing, and posts directly to the ERP.
  • Inventory alerting: monitors stock levels against open order commitments and flags shortfalls before they affect fulfillment.

Procurement

  • Supplier RFQ: generates structured requests to approved suppliers based on replenishment triggers and returns a ranked comparison for buyer review.
05. Results

What Changes With AI

Quote Turnaround

Before: A sales rep spends 2 to 3 hours per complex RFQ on pricing verification and quote assembly. At 30 quotes per week, that is 60 to 90 hours of coordination consumed weekly across the team.

After: The quote agent returns a draft in under 10 minutes. Rep time drops to 15 minutes for review and send per quote.

Order Entry from Email

Before: Customer service staff transcribe emailed purchase orders into the ERP manually, averaging 20 minutes per order with a 3 to 5 percent error rate on SKU and pricing fields.

After: A PO conversion agent posts orders with exceptions flagged for human review. Processing time drops to under 2 minutes and error rate falls below 0.5 percent.

Figures shown are representative of outcomes in comparable implementations.

06. Agent Screens

What the agents look like

Representative screens showing how AI agents surface data and present decisions to your staff. Click any card to see the full view.

Sales

Quote Assembly Agent

Account-specific pricing pulled from your ERP and a complete multi-line quote returned in under 10 minutes.

Operations

PO Conversion Agent

Emailed purchase orders extracted, validated against catalog and contract pricing, and posted to the ERP.

Customer Service

Voice AI Order Status

Inbound order status calls resolved by a voice agent pulling live data from your OMS without a rep touch.

07. Engagement

How an Engagement Begins

Phase 1: AI Foundation Training (1 to 3 weeks)

Operations, sales, and customer service staff complete AI training specific to B2B commerce workflows. Participants leave with a mapped list of process candidates that becomes the input for Phase 2.

Phase 2: AI Readiness Assessment (2 to 3 weeks)

Tayana assesses your platform integrations, data structure, and order workflows against what a production pilot requires. The output is a prioritized agent recommendation with a defined integration path.

Phase 3: Pilot Deployment (6 to 8 weeks, from $10,000)

One agent, one process, live data. Typical pilots cover quote assembly, PO conversion from email, or order status deflection. Success criteria are defined before the pilot begins.

08. Questions

Common Questions

Can AI agents read emailed purchase orders and enter them into our ERP automatically?

A PO conversion agent reads emailed PDFs and unstructured text, validates each line item against your catalog and contract pricing, and posts the order to the ERP. Exceptions are flagged for human review rather than blocked.

How do AI agents handle account-specific pricing and tiered discounts in B2B ecommerce?

The agent pulls pricing from your ERP or CPQ system at the time of each quote or order request. It does not hold pricing data independently, so it reflects whatever your system of record currently contains, including recent contract updates.

Will a quote automation agent replace our account managers or sales reps?

No. The agent handles data assembly and pricing verification so reps spend their time on relationships and exceptions rather than spreadsheet work. Most teams that deploy quote agents report higher close rates because reps stop building quotes from scratch.

How long does it take to deploy an AI agent in a B2B ecommerce environment?

A single-process pilot takes 6 to 8 weeks from engagement start to production. Timeline depends on data quality in your ERP, API access to your commerce platform, and the complexity of your pricing and approval rules.

What ERP and ecommerce platforms do your AI agents integrate with?

Tayana connects agents to Acumatica, NetSuite, SAP, Epicor, and other established ERPs, alongside commerce platforms including Salesforce B2B Commerce, BigCommerce, and custom-built portals. Integration requirements are confirmed during the readiness assessment, not assumed upfront.

How do AI agents handle complex approval workflows for high-value B2B orders?

Agents are configured to respect your existing approval logic. Orders exceeding defined thresholds or falling outside contract parameters route to the appropriate approver rather than processing automatically. Human oversight is a design parameter, not something added after the fact.

What ROI timeline should we expect from a B2B ecommerce AI pilot?

Measurable time savings typically appear within the first 30 days of production for quote assembly and PO conversion pilots. Full cost recovery through staff time reallocation and error reduction generally occurs within 6 to 12 months depending on order volume.

Is AI for B2B ecommerce only practical for large manufacturers or distributors?

No. The qualification is process maturity, not company size. If you handle a defined volume of repeat orders from established accounts and have that data in a current system, a pilot is viable regardless of your revenue band.

Ready to Take the Next Step

Book a thirty-minute call. We will confirm whether your situation is a fit and what the right starting point is, whether that is the AI Adoption Accelerator, a readiness assessment, or a direct pilot.

Agent screen