Skip to content
Tiatra, LLCTiatra, LLC
Tiatra, LLC
Information Technology Solutions for Washington, DC Government Agencies
  • Home
  • About Us
  • Services
    • IT Engineering and Support
    • Software Development
    • Information Assurance and Testing
    • Project and Program Management
  • Clients & Partners
  • Careers
  • News
  • Contact
 
  • Home
  • About Us
  • Services
    • IT Engineering and Support
    • Software Development
    • Information Assurance and Testing
    • Project and Program Management
  • Clients & Partners
  • Careers
  • News
  • Contact

Avoid AI pitfalls: Understanding how your business sells is key to a smooth AI deployment

Many companies struggle with where and how to implement artificial intelligence (AI) into their workflows. We suggest applying AI to the highest-value processes in your company — sales and order entry — because the return on investment (ROI) can be fast and substantial.

With AI, quote turnaround can go from 12 hours to 20 minutes, training time drops by 90%, and sales productivity goes through the roof. A simple, single-line order goes from 40 clicks to five, and 10 screens to four. It’s a compelling argument for applying AI to the customer interactions that get you paid.

At DataXstream, we do this upfront – before AI is applied – so we can create the right machine learning models tailored to your business, and then apply them to the highest-value processes in your company to drive sales. This goes beyond the lift and shift integration of data from the legacy system to the new platform. By applying AI, we go beyond the traditional ways of handling information to customize and automate your transition. Here’s how it works.

Data requirements for artificial intelligence

Traditional data mapping requires manually manipulating information to migrate it to the new platform. Typically, we see companies take digitized data and apply a standard tagging model that requires continuous adjustments as you go along. Companies may say they can give you 100% accuracy using their AI solution “right out of the gate,” but that is not entirely true. Most solutions require significant human rework to run smoothly.

The biggest differentiator of our OMS+IA platform is that we personalize our matching models based on how the customer looks for materials when building an order or a quote.

For example:

  • Do they punch in the manufacturer’s number first?
  • Do they always look up the material by the UPC?
  • Do they have simple customer descriptions, or are they complex?

Why is this important? When it comes to document automation using machine learning technology and AI to start automating the order process, material matching models must align with how the company searches for their materials.

We look at how our customers sell, their business practices, typical product queries, the complexity of product descriptions, and more. It’s a process that sets the stage for the data migration, go-live, and ultimate success.

While data may be similar by industry segment, each distributor runs their business differently. We look for these points of differentiation. For example, we can tweak our application to prioritize how a customer query returns product data. You may want a list of brands first. Or you may want the list prioritized by what’s in stock. The data returned to a customer query can be personalized based on how the customer searches and what’s important to them.

This personalization applies across SAP SD order documents, whether a quote, an email inquiry, a return, a credit, or the order itself. We design the solution to accommodate your business. That’s unusual in an off-the-shelf product.

In addition to saving time, AI is a hedge against bad or poorly maintained data, typos, and other complicating factors in distributors’ datasets.

AI algorithms can:

  1. Identify the patterns, relationships, and structures between datasets to lessen their complexity.
  2. “Learn” from existing models to increase accuracy over time.
  3. Spot and correct errors and inconsistencies in the data for more accurate labeling.
  4. Automatically adapt to changes in the data to ensure labels remain accurate.
  5. Improve the accuracy and speed of data matching, cutting time spent on manual tasks.
  6. Scale as the volume of data increases.

DataXstream customers work with our data scientists to model the data, personalizing it to their business. With AI, this process is strategic, not manual. Human decision-making remains at the forefront of this approach. However, you don’t waste time on manual data mapping—AI does the heavy lifting. In this scenario, AI and automation are not replacing human expertise but elevating it.

We can achieve highly accurate output accuracy at go-live while removing many manual, time-consuming data mapping processes. Our AI model is designed for oversite to allow for human correction to further train the model with the goal of 100% accuracy.

A real-world example

Let’s apply this to some real-world distribution scenarios.

Our software streamlines transactional data at the point of order entry, whether at the counter, on the phone, online, or on a mobile device. The platform is embedded within existing or new SAP ERP platforms to reduce manual sales processes. It tackles one of the biggest problems in distribution—the variances in product descriptions between companies and customers. With OMS+IA, a distributor can automatically process an emailed order in Excel or PDF, capturing and converting that data into an order in your ERP. Humans can review the order, but the time savings is huge. Even if you only achieve a 75% match on the conversion from a thousand-line order – AI and automation save three-quarters of the time normally spent on manual order processing.

For example, we can match all product attributes, not just to a 1:1 field. OMS+IA can match on CMIR, customer description, by SKU or serial number — and more. The software allows for various matches based on multiple search criteria. It has an immediate and enormous impact on the end-user experience.

On the front end of the order, we eliminate manual rekeying. Orders come in, and the software matches the data in the order to a distributor’s inventory records. Even if the system matches 75% on a thousand-line order, it eliminates the manual work down to one-quarter of a formerly labor-intensive, manual process. It significantly improves the quote-to-order conversion time. Errors lessen. The bottom line improves.

Customers do not have to rekey mapping each time the data set changes, either. DataXstream’s OMS+IA was purpose-built for the non-data scientist; anyone can use it.  We take the ambiguity out so that the customer service rep can improve their daily work, which in turn increases the bottom line.

To learn more, visit us here.


Read More from This Article: Avoid AI pitfalls: Understanding how your business sells is key to a smooth AI deployment
Source: News

Category: NewsJuly 8, 2024
Tags: art

Post navigation

PreviousPrevious post:今日の IT リーダーに対する CEO の最優先事項NextNext post:Año uno de la Consejería de Digitalización de Madrid: más de 100 proyectos incluyen IA

Related posts

SAS supercharges Viya platform with AI agents, copilots, and synthetic data tools
May 8, 2025
IBM aims to set industry standard for enterprise AI with ITBench SaaS launch
May 8, 2025
Consejos para abordar la deuda técnica
May 8, 2025
Training data: The key to successful AI models
May 8, 2025
Bankinter acelera la integración de la IA en sus operaciones
May 8, 2025
The gen AI at Siemens Mobility making IT more accessible
May 8, 2025
Recent Posts
  • SAS supercharges Viya platform with AI agents, copilots, and synthetic data tools
  • IBM aims to set industry standard for enterprise AI with ITBench SaaS launch
  • Consejos para abordar la deuda técnica
  • Training data: The key to successful AI models
  • Bankinter acelera la integración de la IA en sus operaciones
Recent Comments
    Archives
    • May 2025
    • April 2025
    • March 2025
    • February 2025
    • January 2025
    • December 2024
    • November 2024
    • October 2024
    • September 2024
    • August 2024
    • July 2024
    • June 2024
    • May 2024
    • April 2024
    • March 2024
    • February 2024
    • January 2024
    • December 2023
    • November 2023
    • October 2023
    • September 2023
    • August 2023
    • July 2023
    • June 2023
    • May 2023
    • April 2023
    • March 2023
    • February 2023
    • January 2023
    • December 2022
    • November 2022
    • October 2022
    • September 2022
    • August 2022
    • July 2022
    • June 2022
    • May 2022
    • April 2022
    • March 2022
    • February 2022
    • January 2022
    • December 2021
    • November 2021
    • October 2021
    • September 2021
    • August 2021
    • July 2021
    • June 2021
    • May 2021
    • April 2021
    • March 2021
    • February 2021
    • January 2021
    • December 2020
    • November 2020
    • October 2020
    • September 2020
    • August 2020
    • July 2020
    • June 2020
    • May 2020
    • April 2020
    • January 2020
    • December 2019
    • November 2019
    • October 2019
    • September 2019
    • August 2019
    • July 2019
    • June 2019
    • May 2019
    • April 2019
    • March 2019
    • February 2019
    • January 2019
    • December 2018
    • November 2018
    • October 2018
    • September 2018
    • August 2018
    • July 2018
    • June 2018
    • May 2018
    • April 2018
    • March 2018
    • February 2018
    • January 2018
    • December 2017
    • November 2017
    • October 2017
    • September 2017
    • August 2017
    • July 2017
    • June 2017
    • May 2017
    • April 2017
    • March 2017
    • February 2017
    • January 2017
    Categories
    • News
    Meta
    • Log in
    • Entries feed
    • Comments feed
    • WordPress.org
    Tiatra LLC.

    Tiatra, LLC, based in the Washington, DC metropolitan area, proudly serves federal government agencies, organizations that work with the government and other commercial businesses and organizations. Tiatra specializes in a broad range of information technology (IT) development and management services incorporating solid engineering, attention to client needs, and meeting or exceeding any security parameters required. Our small yet innovative company is structured with a full complement of the necessary technical experts, working with hands-on management, to provide a high level of service and competitive pricing for your systems and engineering requirements.

    Find us on:

    FacebookTwitterLinkedin

    Submitclear

    Tiatra, LLC
    Copyright 2016. All rights reserved.