Modou VS ViewForge

Modou's answer

• Artificial Intelligence and Large Language Models (LLMs)
• Next.js and React
• TypeScript
• Node.js and Express
• PostgreSQL
• Supabase
• Cloud Infrastructure
• Business System Integrations (CRM, email, calendars, messaging platforms)

ViewForge's answer:

• TypeScript
• Shopify metaobjects, as the fitment data store
• Shopify theme app extensions for the storefront components: fitment search, saved-vehicle garage, compatibility table, product-page fit notice
• Shopify Storefront API, for querying fitment from the theme
• Shopify Admin GraphQL API, for writing and exporting fitment records
• NHTSA vehicle database, for VIN decoding
• ACES and PIES XML parsing, for automotive catalog import

Modou's answer

Most AI sales tools help salespeople write emails or analyze data. Modou acts like an AI sales colleague that can actually do the work.

You can talk to Modou in Slack, Teams, or Telegram, delegate tasks naturally, and let it take action across your CRM, email, calendar, and other business tools.

Instead of adding another dashboard, Modou works where your team already works and continuously handles the work around selling so salespeople can focus on building relationships and closing deals.

ViewForge's answer:

Three things. (1) Data ownership: ViewForge writes fitment as Shopify metaobjects native to your store — most competitors store fitment in their own database. (2) 8 verticals out of the box: auto, motorcycle, tractor, marine, power equipment, bicycle, printer, electronics — most competitors are automotive-only. (3) Smart Parse: extract fitment automatically from your existing product titles and descriptions instead of re-typing everything.

Modou's answer

Modou is currently working with early adopters, founders, sales professionals, and growing businesses that want to reduce administrative work and improve sales productivity.

As an early-stage company, we focus on closely collaborating with users to shape the future of AI-powered sales operations. Competitors are companies such as: Viktor, Salfio, Twin AI, Tasklet, Coworker ai.

Modou's answer

Modou started from a personal frustration.

While building startups and working in sales-focused environments, we noticed that salespeople were spending more time updating CRMs, managing follow-ups, researching prospects, and handling administrative work than actually selling.

We believed AI should not just provide suggestions but actively help complete the work. That idea evolved into Modou: an AI sales colleague that handles the work around selling, allowing teams to focus on finding opportunities, building relationships, and closing deals.

ViewForge's answer:

ViewForge came out of agency work. Normal View was building for a parts retailer running roughly 12,000 SKUs who needed fitment search, and every app we evaluated stored the merchant's compatibility data in the vendor's own database.

That is a strange trade when you look at it directly. Fitment data is genuinely expensive to produce — it is weeks of work — and the merchant would not own the result. It would belong to whichever app happened to be installed that year.

Shopify metaobjects made a different answer possible: write fitment as native structured data inside the merchant's own store. The theme reads it, the Storefront API queries it, Admin GraphQL exports it, and it is still there after an uninstall. That decision is what the rest of the app is built around.

Everything else came from real catalogs rather than a roadmap. Eight verticals exist because a tractor catalog is not Year/Make/Model. Smart Parse exists because that retailer had already written fitment into 12,000 product titles, and nobody was ever going to retype them.

Modou's answer

Modou is designed for sales teams, account executives, SDRs, founders, consultants, agencies, and customer-facing teams that spend too much time on CRM administration, follow-ups, research, meeting notes, and other non-selling activities.

It is especially valuable for growing startups and SMBs that want to increase sales productivity without hiring additional administrative staff.

ViewForge's answer:

Shopify merchants whose customers need to know whether a part fits before they will buy it — and who do not have an engineer on staff to build that themselves.

Concretely: auto and truck parts retailers, powersports and motorcycle dealers, tractor and agricultural parts sellers, marine and outboard suppliers, small-engine and power equipment stores, bicycle and e-bike component shops, printer supply merchants, and electronics accessory sellers.

Catalog sizes run from a few dozen products on the free tier up into the tens of thousands; it is running in production on a catalog of roughly 40,000 SKUs. The common thread is not the industry — it is that "does this fit my thing" is the question deciding the sale.

Modou's answer

• Works like a colleague, not another tool to manage
• Operates from Slack, Teams, and Telegram
• Handles CRM administration automatically
• Performs prospect research and follow-ups
• Connects multiple business systems in one place
• Learns your company processes and context over time
• Helps sales teams spend more time selling and less time on administrative work

ViewForge's answer:

Data ownership. Fitment lives in your Shopify metaobjects, so uninstalling does not take your compatibility data with it. Convermax, EasySearch and PartFinder all keep it in their own databases, and getting it back depends on their export tooling on the day you cancel.

Cost at the low end. The search widget, the compatibility table on the product page and the saved-vehicle garage are all on the free tier, up to 50 products, with no expiry. EasySearch puts the table and the garage behind its $75/month Premium plan. Convermax starts at $250/month.

Automotive and non-automotive coverage. Eight built-in templates, and fully custom templates from $19/month, for catalogs that do not decompose into Year/Make/Model at all.