4 AI Tools Wholesale Brands Need to Start Using (2025 Guide)

The AI landscape has been evolving quickly. 

Looking back even just a year and there are a lot more competitors in every industry and these days there really is an AI solution catered to nearly every industry you can think of. 

So, today we wanted to focus on some that can help brands in the wholesale ecommerce space because the brands winning wholesale today are the ones augmenting their core workflows with AI. 

Whether their AI tools are forecasting demand, building smarter assortments, publishing consistent product content, pricing with precision, and recovering lost revenue from deductions, they’re leveraging AI to supplement their existing strategies.

Keep reading and you’ll find five categories of AI tools (along with some specific vendor examples) that wholesale brands can start using today. 

AI Demand Forecasting and Planning 

What Tools in This Category Do: These solutions generally provide enterprise‑grade AI/ML and agentic‑AI “planning copilots” that unify sales, marketing, and supply chain signals to forecast demand, simulate scenarios, and recommend actions. Essentially, they give you tools for faster buys, smoother allocations, and fewer out‑of‑stocks.

Vendor to take a look at: 09 Solutions

Why this could benefit your business: Seasonal pre‑books, size curves, and launch volatility make wholesale forecasting pretty difficult. This AI-powered forecasting and planning tool helps your team align buys with pre‑season commitments and in‑season reorders without the fires that you’d normally have to put out in a given season. 

Quick tips:

• Start with 10–20% of your catalog (core carryovers + top seasonal styles) to prove accuracy and bias improvements.
• Use exception‑based workflows to review only deviations that move gross margin or service levels.
• Run weekly “what‑if” simulations for launch dates, minimum order quantity constraints, and promo lifts.

AI Product Content and Digital Shelf Management 

What Tools in This Category Do: They provide AI‑powered PIM/PXM workflows to generate, structure, and syndicate product content at scale (titles, descriptions, bullets, attributes), as well as governance to keep each retailer’s specs compliant.

Vendor to take a look at: Salsify

Why this could benefit your business: Every retail partner wants different content, and errors kill speed‑to‑shelf. AI accelerates copy creation, attribute enrichment, and channel‑specific templates so you can launch more SKUs correctly, the first time.

Quick tips:

• Bulk‑generate PDP copy and feature bullets for top SKUs; route through human approval with style guides.
• Build retailer‑specific templates (fields, media, A+ modules) and auto‑validate before syndication.
• Create FAQ blocks and long‑form descriptions optimized for AI shopping assistants.

AI Pricing and Promotion Optimization 

What Tools in This Category Do: They learn true demand drivers and elasticity to recommend list and promo prices by product, channel, store/region, or segment. The best way to use these tools is alongside your team members to get their algorithms just right. 

Vendor to take a look at: Competera

Why this could benefit your business: Wholesale margins are thin and price moves ripple through partners. AI finds profitable price bands, protects price perception, and stress‑tests promo scenarios before they hit the market.

Quick tips:

• Pilot on 1–2 categories with high seasonality to prove margin lift without volume loss.
• Set guardrails (MAP/MRP, retailer constraints) and let the model optimize within your policy.
• Use “what‑if” sandboxes to model promo calendars and inventory risk.

AI Deductions and Retail Compliance Automation 

What Tools in This Category Do: They automate deduction detection, documentation collection, and disputes across major retailers. They’ll also surface the root cause of any discrepancies to prevent repeat fines.

Vendor to take a look at: SupplyPike 

Why this could benefit your business: Retail chargebacks can be a silent killer of your margins. AI‑assisted matching and one‑click disputes recover cash while your team fixes upstream issues.

Quick tips:

• Integrate retailer portals and auto‑ingest supporting docs to build dispute packets.
• Stand up dashboards by retailer to prioritize big‑ticket claim types.
• Partner with ops to remediate top‑causing ASN/label/compliance issues.

6 Steps to Assemble Your Wholesale AI Stack 

1. Audit bottlenecks across planning, sell‑in, content, pricing, and AR. Rank by margin impact.
2. Start with one pilot per function. Keep your scope tight.
3. Define success upfront (2–3 KPIs each) and compare to a clean baseline.
4. Instrument data flows (ERP, OMS, WMS, PIM) and clarify human approval points.
5. Enable your team with SOPs, guardrails, and “when to override the model” rules.
6. Scale what works. Expand SKUs, retailers, and geographies after the pilot proves ROI.

And while you test and experiment with these AI tools, you’ll need a wholesale ecommerce platform powering your wholesale operations. RepSpark can integrate with many tools and is continually building new operations. 

We’ve been supercharging wholesale operations for DTC brands just starting in the space to enterprise companies that dominate their markets. 

Schedule some time and we’d love to share how we can help your wholesale operations.